DCIS recurrence and invasive breast cancer

ABSTRACT

The present technology generally relates to methods and compositions relevant to the prediction that a subject with and/or after treatment for DCIS will experience a subsequent ipsilateral breast event that is a DCIS recurrence, an invasive breast cancer, both a DCIS recurrence and invasive cancer, or neither. The technology can assist one with how to treat such subjects.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is the U.S. National Stage Application under 35 U.S.C. § 371 of International Application No. PCT/US2015/064115, filed Dec. 4, 2015, designating the U.S. and published in English as WO 2016/090323 A1 on Jun. 9, 2016, which claims the benefit of U.S. Provisional Application No. 62/088,132, filed on Dec. 5, 2014, the entire contents of which are incorporated herein by reference in their entireties for all purposes.

STATEMENT REGARDING FEDERALLY SPONSORED R&D

The invention was made with government support under Award Number R44CA162744 awarded by the National Cancer Institute of the National Institutes of Health. The government has certain rights in the invention.

BACKGROUND Field of the Invention

The present technology generally relates to methods and compositions relevant to the prediction and/or determination that a subject with ductal carcinoma in situ (DCIS) will experience a DCIS recurrence, an invasive breast cancer, both, or neither, and/or how to treat such subjects.

Description of the Related Art

While there are a variety of markers for the identification of tumors, as well as various markers for the prediction of neoplastic progression, additional markers can provide useful and beneficial tools for the clinician wishing to determine a prognosis for a subject. Provided herein are various marker sets that allow for the prediction of whether or not a subject who has DCIS is likely to experience a DCIS recurrence, an invasive breast cancer, both, or neither following a treatment. In some embodiments, kits or compositions for these methods are provided. In some embodiments, the prognosis allows one to determine an appropriate approach for treatment of the subject's current DCIS and/or suggest lifestyle adjustments for the subject, as appropriate. The present application provides a general definition section (including some embodiments), a detailed description of the various embodiments for prognosis, treatment, etc., and concludes with a set of examples.

SUMMARY OF VARIOUS EMBODIMENTS

In some embodiments, a method of analyzing a sample for a set of markers is provided. The method comprises analyzing a human DCIS tissue sample from a patient diagnosed with DCIS for PR, and either or both of: analyzing the sample for at least HER2 and SIAH2, or analyzing the sample for at least FOXA1. In some embodiments, depending upon the nature of the results, this indicates that after the subject is treated for DCIS that they are at a high or elevated risk of a subsequent ipsilateral breast event that is either a DCIS recurrence or invasive breast cancer (see, e.g., Tables 1-11 and 13-15).

In some embodiments, a method of analyzing a sample is provided. The method comprises analyzing a human DCIS tissue sample for a level of at least SIAH2 and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of subsequent ipsilateral invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method of analyzing a sample is provided. The method comprises providing a DCIS sample from a subject having DCIS; 1) analyzing the DCIS sample for SIAH2, and analyzing the DCIS sample for at least one of HER2, PR, FOXA1, or any combination thereof; or 2) analyzing the DCIS sample for FOXA1 and PR. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of subsequent ipsilateral invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of a subsequent ipsilateral invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the DCIS sample for a level of at least PR, analyzing the sample for at least HER2 and SIAH2, or analyzing the sample for at least FOXA1. The method further comprises providing a prognosis based upon at least PR, HER2 and SIAH2 or based upon at least PR and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of subsequent ipsilateral invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of a subsequent ipsilateral invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for a level of at least SIAH2 and FOXA1, and prognosing the subject as having an elevated risk of a subsequent ipsilateral invasive breast cancer based upon the level of at least SIAH2 and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of a subsequent ipsilateral invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of a subsequent ipsilateral invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for: a) PR, HER2, and SIAH2, or b) PR and FOXA1; and prognosing the subject as having an elevated risk of a subsequent ipsilateral invasive breast cancer event when at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+, is present in the DCIS sample.

In some embodiments, a method for prognosing a risk of a subsequent DCIS event in a subject is provided. The method comprises providing a DCIS sample from a subject; analyzing the sample for at least one of: a) SIAH2 and FOXA1, b) SIAH2 and at least one of i) PR and ii) HER2, or c) SIAH2 and post-menopausal status; and d) PR and FOXA1, prognosing the subject as having an elevated risk of a subsequent ipsilateral breast DCIS event when at least one of: a) i) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−; SIAH2+ and post-menopausal; or and FOXA1−, is present in the DCIS sample.

In some embodiments, a method for treating a subject diagnosed with DCIS at risk of having a subsequent ipsilateral invasive breast cancer is provided. The method comprises providing a subject having DCIS, wherein the subject has a DCIS sample that is at least one or more of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+; and administering to the subject a therapy that is more aggressive than standard of care for DCIS. In some embodiments, this therapy is tailored to an elevated or high risk of a subsequent ipsilateral invasive cancer, such as breast conserving surgery with adjuvant radiation therapy or a for subjects with high risk, a more aggressive therapy than standard of care cases such as mastectomy.

In some embodiments, a method for treating a subject at risk of having a subsequent DCIS recurrence is provided. The method comprises providing a subject having DCIS, wherein the subject has a DCIS sample that is at least one of: a) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−, c) SIAH2+ and post-menopausal status, or d) and FOXA1−, and administering to the subject a more aggressive therapy than standard of care for a single DCIS event. In some embodiments the therapy is tailored to an elevated or high risk of a subsequent ipsilateral DCIS recurrence that such as secondary breast conserving surgery, or breast conserving surgery with radiation. By the use of such a method, one can achieve an ideal therapy for the subject, where the subject might otherwise (without having the benefit of the method) have had an insufficiently aggressive therapy.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis as described herein, and a) performing a therapy appropriate to reduce a risk of subsequent ipsilateral invasive breast cancer if the analysis or prognosis indicates a risk of subsequent ipsilateral invasive breast cancer, or b) performing a therapy appropriate to reduce a risk of subsequent ipsilateral DCIS recurrence if the analysis or prognosis indicates a risk of subsequent ipsilateral DCIS recurrence.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis as described herein, and either or both of: a) not performing a therapy, such as adjuvant radiation therapy or mastectomy, to reduce a risk of subsequent ipsilateral invasive breast cancer if the analysis or prognosis does not indicate a risk of subsequent ipsilateral invasive breast cancer, and/or b) not performing a therapy, such as adjuvant radiation therapy or secondary breast conserving therapy, to reduce a risk of a subsequent ipsilateral DCIS recurrence if the analysis or prognosis does not indicate a risk of DCIS recurrence. In some embodiments, the absence of a risk for invasive and/or DCIS recurrence is a combination of markers that fails to appear in Tables 1-11 and 13-15. By the use of such a method, one can achieve an ideal therapy for the subject, where the subject might otherwise (without having the benefit of the method) have had an unnecessarily aggressive therapy.

In some embodiments, a method for treating a subject is provided. The method can include providing a subject having DCIS, wherein the subject has a DCIS that is none of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or d) PR+, FOXA1−, and Ki67+ and administering to the subject a therapy that is less aggressive than standard of care for DCIS.

In some embodiments, a method for treating a subject is provided. The method can comprise performing less than standard of care for a subject having DCIS, wherein the subject has a DCIS that lacks a combination of markers as indicated in Tables 1-11, 14, and 15 that would indicate an elevated risk of subsequent ipsilateral invasive breast cancer. Such a method allows for reduced surgeries and/or other therapies, where there is no to little invasive risk involved.

In some embodiments, a method for treating a subject is provided. The method can comprise performing less than standard of care for a subject having DCIS, wherein the subject has a DCIS that lacks a combination of markers as indicated in Tables 1-11 and 13-15 that would indicate an elevated risk of subsequent ipsilateral DCIS recurrence or invasive cancer. Such a method allows for reduced surgeries and/or other therapies, where there is no to little risk involved.

In some embodiments, a kit is provided. The kit can include a FOXA1 probe, and a SIAH2 probe.

In some embodiments, an antibody composition is provided that includes an isolated FOXA1 antibody, and an isolated SIAH2 antibody.

In some embodiments, a solid support comprising probes or antibodies specific for at least SIAH2 and FOXA1 is provided.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 are IHC assays depicting some embodiments of a negative (top) and positive (bottom) staining result for PR.

FIG. 2 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for HER2.

FIG. 3 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for p16.

FIG. 4 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for Ki67.

FIG. 5 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for COX-2.

FIG. 6 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for SIAH2.

FIG. 7 are IHC assay images depicting some embodiments of a negative (top) and positive (bottom) staining result for FOXA1.

FIG. 8 depicts a p63 immunostain image to distinguish DCIS from invasive breast cancer.

FIG. 9 depicts a smooth muscle myosin heavy chain (SMMHC) immunostain image to distinguish DCIS from invasive breast cancer.

FIG. 10 depicts an image of an e-Cadherin immunostain to distinguish LCIS From DCIS.

FIGS. 11A-11D depict exemplary HER2 staining and scoring.

FIG. 12 depicts staining results of Ki-67 at 30%.

FIGS. 13A-13C depict exemplary PR staining.

FIG. 14 is a graph depicting overall subsequent ipsilateral event risk (combined invasive and DCIS events), as a function of PR, HER2, SIAH2, FOXA1, P16, KI67, COX-2, and CD31 in the UUH test and UMASS test cohort.

FIG. 15 is a graph depicting subsequent ipsilateral invasive event risk, as a function of PR HER2 SIAH2 FOXA1 P16 KI67 COX-2 and CD31 in the UUH test and UMASS test cohort.

FIG. 16 is a graph depicting subsequent ipsilateral total recurrence (UMASS Cohort BCS—HT+/−RT).

FIG. 17 is a graph depicting subsequent ipsilateral total recurrence (UMASS and UUH Cohort BCS—HT+/−RT).

FIG. 18 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of age and PR.

FIG. 19 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of age and PR.

FIG. 20 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2 and SIAH2.

FIG. 21 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2 and PR.

FIG. 22 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of PR and SIAH2.

FIG. 23 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2 and SIAH2.

FIG. 24 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2 and PR.

FIG. 25 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2, SIAH2, and PR.

FIG. 26 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of HER2, PR, and SIAH2.

FIG. 27 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of HER2 and PR.

FIG. 28 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of HER2, PR, and SIAH2.

FIG. 29 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of HER2, PR, and SIAH2.

FIG. 30 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS recurrence) over time, as a function of PR and FOXA1.

FIG. 31 is a graph depicting the likelihood of a subsequent ipsilateral event (total recurrence) over time, as a function of PR HER2 SIAH2 FOXA1 P16 KI67 COX-2 and CD31.

FIG. 32 is a graph depicting the likelihood of a subsequent ipsilateral event (total recurrence) over time, as a function of PR HER2 SIAH2 FOXA1 P16 KI67 COX-2 and CD31.

FIG. 33 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of PR HER2 SIAH2 FOXA1 P16 KI67 COX-2 and CD31.

FIG. 34 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS) over time, as a function of PR HER2 SIAH2 FOXA1 P16 KI67 COX-2 and CD31.

FIG. 35 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS) over time, as a function of PR and FOXA1.

FIG. 36 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS) over time, as a function of PR and FOXA1.

FIG. 37 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of PR and FOXA1.

FIG. 38 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of PR and FOXA1.

FIG. 39 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of treatment with breast conserving surgery and with or without adjuvant radiation therapy (RT).

FIG. 40 is a graph depicting the likelihood of a subsequent ipsilateral event (invasive) over time, as a function of FOXA1 and PR.

FIG. 41 is a graph depicting the likelihood of a subsequent ipsilateral event (DCIS) over time, as a function of FOXA1 and PR.

DETAILED DESCRIPTION OF VARIOUS EMBODIMENTS

Ductal carcinoma in situ (DCIS) is initially typically diagnosed from a tissue biopsy triggered by a suspicious finding (e.g., microcalcifications, unusual mass, tissue distortion or asymmetry, etc.) on a mammogram and/or ultrasound imaging test. It may be from routine screening imaging or, more rarely, from diagnostic imaging triggered by a positive physical examination (e.g., a palpable mass, nipple discharge, skin change, etc.) or by a significant change in a previously identified mass.

A pathologist examines histologically stained (e.g., hematoxylin and eosin (H&E)) sections of the biopsy tissue to assess the presence of DCIS and/or other histologies. These can include non-malignant histologies, such as, for example, fully benign lesions, atypical hyperplasia, lobular carcinoma in situ (LCIS), etc. Sections may be stained for certain protein markers to help differentiate DCIS in some equivocal cases (e.g., E-cadherin to differentiate DCIS from LCIS). DCIS can occur as a pure DCIS lesion or co-exist with these non-malignant histologies.

Cellular proliferation in DCIS is confined to the milk ducts. If the proliferating cells have invaded through the basement membrane of the myoepithelial cell (MEC) layer lining the duct, thus appearing in the surrounding stroma, then the lesion is considered an invasive breast cancer, even if DCIS is also present. In some cases, the invasion is very minimal (microinvasion) or the only evidence of invasion is disruption of the MEC layer (e.g., by observing discontinuities in MEC-specific protein marker stains such as SMMHC and/or p63). Typically, these microinvasive cases are treated as invasive breast cancers, although there is some controversy in the treatment of these cases.

After DCIS is diagnosed from the biopsy, it must be decided if and what additional surgery will be performed (pathology on subsequently removed tissue is done to confirm that there is no evidence of invasive cancer). If the lesion is very small and appears to be entirely captured by the biopsy, then no further surgery is typically performed. In most cases, a lumpectomy is performed, in which just the area of the lesion and sufficient surrounding tissue is removed to achieve a clear margin. If pathology on the lumpectomy tissue reveals a close or positive margin, an additional lumpectomy may be performed.

In about one-fourth of cases, a mastectomy (removal of the entire breast) is performed. A mastectomy is indicated in a variety of situations, including multicentric disease (multiple areas containing DCIS separated by about 5 cm or more), diffuse microcalcifications around the breast (indicating broad areas of ongoing changes), large lesion size relative to breast size that would preclude a good cosmetic outcome with lumpectomy, persistent positive margins after lumpectom(ies), or patient preference.

Recurrence rates with current treatments are difficult to estimate. However, it is likely that about 20% of patients who receive lumpectomies without any further treatment would experience recurrence events within 10 years, approximately evenly split between DCIS and invasive events, while<2% of patients who receive mastectomies would experience recurrence. Standard of care with lumpectomy is to receive adjuvant radiation therapy (RT). Several randomized clinical trials provide evidence that adjuvant radiation therapy following lumpectomy reduces recurrence risk by approximately half for both DCIS and invasive event types, and that current clinical and pathologic assessment techniques cannot identify a low-risk sub-group in which there is no benefit from radiation therapy. Radiation is not typically administered after mastectomy. Importantly, although radiation reduces the risk of recurrence events, a survival benefit has not been established with radiation like it has for invasive breast cancer.

Given that adjuvant radiation only provides the most important benefit in about 5% of patients (reducing invasive recurrence risk from about 10% to 5%), there is a great deal of overtreatment associated with irradiating the vast majority of lumpectomy patients. Reducing radiation use in DCIS patients currently is considered one of the top priorities in breast cancer research. Clinical practice guidelines refer to the option of foregoing radiation in patients considered low-risk. However, the identification of such patients is acknowledged to be elusive and is crudely based on factors, such as palpability, size, nuclear grade, margin size, and age, with no clear guidance.

It also is becoming standard of care in the United States (and some other countries) to test DCIS tumors for hormone (estrogen and/or progesterone) receptor status and administer endocrine therapy in patients who are positive and opt for lumpectomy. Similar to radiation, though, while evidence exists that endocrine therapy may reduce risk of recurrence, there is no established survival benefit such as that shown in invasive breast cancer, and there are measurable side effects.

As described above, the choices of surgery type and adjuvant radiation and hormone therapy are driven by both clinical evidence and patient preference. Lumpectomy preserves the appearance and sensation of the breast and has a reduced recovery time and lower potential for complications relative to mastectomy. However, with lumpectomies, there is a higher likelihood for the need for an additional surgery (when clear margins are not achieved), and there is a somewhat higher risk of developing a recurrence.

In addition, adjuvant radiation is standard of care after lumpectomy, and the regimens can be grueling (e.g., 5 days a week for 5 to 7 weeks), add expense, and lead to both short- and long-term side effects. Short-term side effects include localized skin rashes, radiation pneumonitis, myelosuppression, fatigue, etc. Serious long-term side effects, although very rare with modern irradiation techniques, include cardiovascular and pulmonary disease and secondary cancers of the breast, lung, and other nearby organs.

Mastectomy offers the lowest risk of recurrence and typically is not accompanied by radiation and its potential side effects. However, it is a more expensive approach, particularly when reconstruction is done, with a longer recovery time and higher likelihood of complications, and the entire breast is lost. There is even a recent trend for women to opt for bilateral mastectomy, particularly when there are other risk factors, such as age, personal/family history, and/or genetics, even though the negative effects often outweigh the benefits relative to lumpectomy.

In addition to the general disadvantages of radiation described above, radiation can also have effects that mitigate the advantages of lumpectomy. For example, radiation can cause long-term or permanent fibrosis (scarring) of the breast, which can negatively impact its feel and appearance. Further, irradiating the breast can inhibit the ability to perform another lumpectomy in the future for a recurrence or to surgically address other cosmetic changes. There are also limits on the cumulative radiation that can be used. For example, prior thoracic radiation may preclude lumpectomy for DCIS if adjuvant radiation is indicated, and post-lumpectomy radiation may limit the ability to use radiation on a subsequent invasive recurrence, an arguably more critical setting. Therefore, it is important to limit radiation to only those patients who are most likely to benefit.

A test that accurately estimates risk of recurrence in DCIS patients based on marker status in excised tissue and/or clinicopathologic factors can affect treatment at many decision points, thereby improving patient outcomes and decreasing side effects and costs.

Lumpectomy-eligible patients found to be very low risk by the test from the initial biopsy can be designated for watchful waiting without additional surgery, regardless of margin status, or perhaps smaller or positive margins could be tolerated after a lumpectomy surgery. This would minimize treatment and the associated costs and adverse effects.

Predominantly, the test would identify lumpectomy-eligible low-risk patients (particularly those at low risk for an invasive event) for whom definitive lumpectomy (with clear margins) is sufficient treatment without the need for adjuvant radiation. Risk assessment, in combination with hormone receptor status, also can be used to decide whether endocrine therapy is indicated. This would allow preservation of the breast; elimination of radiation-associated adverse effects, including damage to the breast; lower cost, recovery time, and complication rates; and improved patient convenience. In addition, patients with previous thoracic radiation can safely receive lumpectomies, and most patients would retain their ability to receive future lumpectomies and/or radiation.

Lumpectomy-eligible patients found to have elevated risk by the test can be treated more aggressively, such as attempting to achieve wider margins during the initial lumpectomy and/or treating with adjuvant radiation and/or hormone therapy after surgery. Rare, very high-risk lumpectomy-eligible patients can be upgraded to mastectomy.

Mastectomy patients (those not eligible for lumpectomy due to the extent of the disease) found to have elevated risk by the test can be treated more aggressively, such as by adding adjuvant radiation. Rare, very high-risk mastectomy patients can be candidates for cytotoxic chemotherapy.

Rare lumpectomy-eligible patients found to be very high-risk by the test from the initial biopsy can be candidates for mastectomy with or without adjuvant radiation and/or hormone therapy (or even cytotoxic chemotherapy). The upgrades to more aggressive therapy would minimize the likelihood of potentially life-threatening recurrences and give patients peace of mind.

There is evidence that patients with microinvasion have a lower risk than patients with more obvious Stage I invasive breast cancer. Theoretically, the marker interactions/test can accurately assess risk and help guide treatment in patients with disruption of the MEC layer and/or microinvasion, or in patients with obvious invasive breast cancer. The marker interactions/test also may be applicable to risk assessment in earlier/other breast disease states, such as atypical hyperplasia, LCIS, etc.

Given the more serious nature of invasive recurrence, the separate assessment of invasive recurrence risk vs. DCIS/total recurrence risk in such a test can be used to further refine treatment decisions. Accordingly, disclosed and described herein are embodiments that use markers to generate a patient risk profile to help guide a patient's treatment decisions.

While there are a variety of markers for the identification of cancer, as well as various markers for the prediction of cancer, additional markers can provide useful and beneficial tools for the clinician wishing to determine a prognosis for a subject. Provided herein are various marker sets that allow for the prediction of whether or not a subject who has DCIS is likely to experience a DCIS recurrence, an invasive breast cancer, both, or neither. In some embodiments, kits or compositions for these methods are provided. In some embodiments, the prognosis allows one to determine an appropriate approach for treatment of the subject's current DCIS and/or suggest lifestyle adjustments for the subject, as appropriate. The present application provides a general definition section (including some embodiments), a detailed description of the various embodiments for prognosis, treatment, etc., and concludes with a set of examples.

Definitions and Optional Embodiments

The term “and/or” shall be taken to provide explicit support for both meanings or for either meaning.

Throughout this specification the word “comprise”, or variations such as “comprises” or “comprising”, will be understood to imply the inclusion of a stated element, integer or step, or group of elements, integers or steps, but not the exclusion of any other element, integer or step, or group of elements, integers or steps.

The following explanations of terms and methods are provided to better describe the present disclosure and to guide those of ordinary skill in the art in the practice of the present disclosure. The singular forms “a,” “an,” and “the” refer to one or more than one, unless the context clearly dictates otherwise. For example, the term “comprising a nucleic acid molecule” includes single or plural nucleic acid molecules and is considered equivalent to the phrase “comprising at least one nucleic acid molecule.” The term “or” refers to a single element of stated alternative elements or a combination of two or more elements, unless the context clearly indicates otherwise. As used herein, “comprises” means “includes.” Thus, “comprising A or B,” means “including A, B, or A and B,” without excluding additional elements. Unless otherwise specified, the definitions provided herein control when the present definitions may be different from other possible definitions.

Unless explained otherwise, all technical and scientific terms used herein have the same meaning as commonly understood to one of ordinary skill in the art to which this disclosure belongs. All HUGO Gene Nomenclature Committee (HGNC) identifiers (IDs) mentioned herein are incorporated by reference in their entirety. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present disclosure, suitable methods and materials are described below. The materials, methods, and examples are illustrative only and not intended to be limiting.

“Antibody” denotes a polypeptide including at least a light chain or heavy chain immunoglobulin variable region which specifically recognizes and binds an epitope of an antigen. In some embodiments, antibodies are composed of a heavy and a light chain, each of which has a variable region, termed the variable heavy (V_(H)) region and the variable light (V_(L)) region. Together, the V_(H) region and the V_(L) region are responsible for binding the antigen recognized by the antibody. The term antibody includes intact immunoglobulins, as well the variants and portions thereof, such as Fab′ fragments, F(ab)'₂ fragments, single chain Fv proteins (“scFv”), and disulfide stabilized Fv proteins (“dsFv”). A scFv protein is a fusion protein in which a light chain variable region of an immunoglobulin and a heavy chain variable region of an immunoglobulin are bound by a linker, while in dsFvs, the chains have been mutated to introduce a disulfide bond to stabilize the association of the chains. The term also includes genetically engineered forms such as chimeric antibodies (for example, humanized murine antibodies), heteroconjugate antibodies (such as, bispecific antibodies). See also, Pierce Catalog and Handbook, 1994-1995 (Pierce Chemical Co., Rockford, Ill.); Kuby, J., Immunology, 3.sup.rd Ed., W. H. Freeman & Co., New York, 1997. Various antibodies can be used for detecting a a marker, including for example, those in the following table.

Table of Antibodies Antibody Clone (IVD or ASR), Unless Protein Otherwise Noted Manufacturer(s) PGR (PR) mouse 16 Leica Biosystems and Biocare Medical PGR (PR) mouse PgR 636 Dako and Biocare Medical PGR (PR) mouse PgR 1294 Dako PGR (PR) rabbit SP2 Thermo Scientific and Biocare Medical PGR (PR) rabbit SP42 Cell Marque PGR (PR) rabbit EP2 BioGenex PGR (PR) rabbit 1E2 Ventana Medical Systems PGR (PR) mouse PR88 BioGenex PGR (PR) rabbit Y85 Cell Marque ERBB2 (HER2) rabbit SP3 Cell Marque, Thermo Scientific, and Diagnostic BioSystems ERBB2 (HER2) rabbit polyclonal Dako HercepTest/A0485 ERBB2 (HER2) mouse CB11 Leica Biosystems, Cell Marque, and Biocare Medical ERBB2 (HER2) rabbit EP3 Cell Marque and BioGenex ERBB2 (HER2) rabbit 4B5 Ventana Medical Systems ERBB2 (HER2) rabbit EP1045Y Thermo Scientific MKI67 (Ki-67) mouse MIB-1 Dako and Biocare Medical MKI67 (Ki-67) mouse MM1 Leica Biosystems and Biocare Medical MKI67 (Ki-67) rabbit SP6 Cell Marque, Thermo Scientific, Biocare Medical, and Diagnostic BioSystems MKI67 (Ki-67) mouse K2 Leica Biosystems MKI67 (Ki-67) rabbit 30-9 Ventana Medical Systems MKI67 (Ki-67) mouse 7B11 ThermoFisher Scientific MKI67 (Ki-67) rabbit EP5 BioGenex MKI67 (Ki-67) mouse BGX-297 BioGenex MKI67 (Ki-67) mouse Ki88 BioGenex PTGS2 (COX-2) rabbit SP21 Cell Marque, Ventana Medical Systems, Thermo Scientific, Biocare Medical, and Diagnostic BioSystems PTGS2 (COX-2) mouse CX-294 Dako PTGS2 (COX-2) mouse COX 229 ThermoFisher Scientific PTGS2 (COX-2) mouse 4H12 Diagnostic BioSystems FOXA1 mouse 2F83 Cell Marque and Ventana Medical Systems FOXA1 rabbit SP88 (RUO) Spring Bioscience and ThermoFisher Scientific FOXA1 rabbit EP277 (RUO) Epitomics INK4A (p16) mouse E6H4 Ventana Medical Systems INK4A (p16) mouse G175-405 BioGenex and BD PharminGen (RUO) INK4A (p16) mouse JC8 (RUO) NA INK4A (p16) mouse 6H12 (RUO) NA SIAH2 mouse MRQ-PRE Cell Marque SIAH2 mouse 24E6H3 Santa Cruz Biotechnology and (RUO) Novus Biologicals

In some embodiments, each heavy and light chain contains a constant region and a variable region, (the regions are also known as “domains”). In combination, the heavy and the light chain variable regions specifically bind the antigen. Light and heavy chain variable regions contain a “framework” region interrupted by three hypervariable regions, also called “complementarity-determining regions” or “CDRs.”

References to “V_(H)” or “VH” refer to the variable region of an immunoglobulin heavy chain, including that of an Fv, scFv, dsFv or Fab. References to “V_(L)” or “VL” refer to the variable region of an immunoglobulin light chain, including that of an Fv, scFv, dsFv or Fab.

A “monoclonal antibody” is an antibody produced by a single clone of B-lymphocytes or by a cell into which the light and heavy chain genes of a single antibody have been transfected. Monoclonal antibodies are produced by methods known to those of skill in the art, for instance by making hybrid antibody-forming cells from a fusion of myeloma cells with immune spleen cells. Monoclonal antibodies include humanized monoclonal antibodies.

A “polyclonal antibody” is an antibody that is derived from different B-cell lines. Polyclonal antibodies are a mixture of immunoglobulin molecules secreted against a specific antigen, each recognizing a different epitope. These antibodies are produced by methods known to those of skill in the art, for instance, by injection of an antigen into a suitable mammal (such as a mouse, rabbit or goat) that induces the B-lymphocytes to produce IgG immunoglobulins specific for the antigen, which are then purified from the mammal's serum.

A “chimeric antibody” has framework residues from one species, such as human, and CDRs (which generally confer antigen binding) from another species, such as a murine antibody.

A “humanized” immunoglobulin is an immunoglobulin including a human framework region and one or more CDRs from a non-human (for example a mouse, rat, or synthetic) immunoglobulin. The non-human immunoglobulin providing the CDRs is termed a “donor,” and the human immunoglobulin providing the framework is termed an “acceptor.” In one example, all the CDRs are from the donor immunoglobulin in a humanized immunoglobulin. Constant regions need not be present, but if they are, they are substantially identical to human immunoglobulin constant regions, e.g., at least about 85-90%, such as about 95% or more identical. Hence, all parts of a humanized immunoglobulin, except possibly the CDRs, are substantially identical to corresponding parts of natural human immunoglobulin sequences. Humanized immunoglobulins can be constructed by means of genetic engineering (see for example, U.S. Pat. No. 5,585,089).

The term “array” denotes an arrangement of molecules, such as biological macromolecules (such as peptides or nucleic acid molecules) or biological samples (such as tissue sections), in addressable locations on or in a substrate. A “microarray” is an array that is miniaturized so as to require or be aided by microscopic examination for evaluation or analysis. Arrays are sometimes called chips or biochips.

The array of molecules makes it possible to carry out a very large number of analyses on a sample at one time. In some embodiments, arrays of one or more molecule (such as an oligonucleotide probe) will occur on the array a plurality of times (such as twice), for instance to provide internal controls. The number of addressable locations on the array can vary, for example from at least one, to at least 2, to at least 5, to at least 10, at least 20, at least 30, at least 50, at least 75, at least 100, at least 150, at least 200, at least 300, at least 500, least 550, at least 600, at least 800, at least 1000, at least 10,000, or more. In particular examples, an array includes nucleic acid molecules, such as oligonucleotide sequences that are at least 15 nucleotides in length, such as about 15-40 nucleotides in length. In particular examples, an array includes oligonucleotide probes or primers which can be used to detect the markers noted herein, such as at least one of those in Tables 1-11 and 13-15 provided herein.

In some embodiments, within an array, each arrayed sample can be addressable, in that its location can be reliably and consistently determined within at least two dimensions of the array. Addressable arrays can be computer readable, in that a computer can be programmed to correlate a particular address on the array with information about the sample at that position (such as hybridization or binding data, including for instance signal intensity). In some examples of computer readable formats, the individual features in the array are arranged regularly, for instance in a Cartesian grid pattern, which can be correlated to address information by a computer.

Protein-based arrays include probe molecules that are or include proteins, or where the target molecules are or include proteins, and arrays including nucleic acids to which proteins are bound, or vice versa. In some examples, an array contains antibodies to markers provided herein, such as at least one of those in Tables 1-11 and 13-15.

As used herein, the term “gene” means nucleic acid in the genome of a subject capable of being expressed to produce a mRNA and/or protein in addition to intervening intronic sequences and in addition to regulatory regions that control the expression of the gene, e.g., a promoter or fragment thereof.

As used herein, the term “diagnosis”, and variants thereof, such as, but not limited to “diagnose” or “diagnosing” shall include, but not be limited to, a primary diagnosis of a clinical state or any primary diagnosis of a clinical state. A diagnostic assay described herein is also useful for assessing the remission of a subject, or monitoring disease recurrence, or tumor recurrence, such as following surgery, radiation therapy, adjuvant therapy or chemotherapy, or determining the appearance of metastases of a primary tumor.

In some embodiments, a prognostic assay described herein is useful for assessing likelihood of treatment benefit, disease recurrence, tumor recurrence, or metastasis of a primary tumor, such as following surgery, radiation therapy, adjuvant therapy or chemotherapy. All such uses of the assays described herein are encompassed by the present disclosure. In some embodiments, the test can be used to predict if the patient will have an occurrence.

The term “breast tumor” denotes a neoplastic condition of breast tissue that can be benign or malignant. The term “tumor” is synonymous with “neoplasm” and “lesion”. Exemplary breast tumors include invasive breast cancer, DCIS, lobular carcinoma in situ (LCIS), and atypical ductal hyperplasia (ADH).

The term “cancer” denotes a malignant neoplasm that has undergone characteristic anaplasia with loss of differentiation, increased rate of growth, invasion of surrounding tissue, and is capable of metastasis. The term “cancer” shall be taken to include a disease that is characterized by uncontrolled growth of cells within a subject, such as invasive breast cancer.

The term “intraductal lesion” refers to tumors that are confined to the interior of the mammary ducts and are, therefore, not invasive breast cancers. Exemplary intraductal lesions include ADH and DCIS.

ADH is a neoplastic intraductal (non-invasive) lesion characterized by proliferation of evenly distributed, monomorphic mammary epithelial cells.

DCIS is a neoplastic intraductal (non-invasive) lesion characterized by increased mammary epithelial proliferation with subtle to marked cellular atypia. DCIS has been divided into grades (low, intermediate, and high) based on factors such as nuclear atypia, intraluminal necrosis, mitotic activity etc. Low-grade DCIS and ADH are morphologically identical, and ADH is distinguished from DCIS based on the extent of the lesion, as determined by its size and/or the number of involved ducts.

LCIS is non-invasive lesion that originates in mammary terminal duct-lobular units generally composed of small and often loosely cohesive cells. When it has spread into the ducts, it can be differentiated from DCIS based on morphology and/or marker stains.

The term “invasive breast cancer” denotes a malignant tumor distinct from, and non-overlapping with, ADH and DCIS, in which the tumor cells have invaded adjacent tissue outside of the mammary duct structures. It can be divided into stages (I, IIA, IIB, IIIA, IIIB, and IV).

Surgery is a treatment for a breast tumor and is frequently involved in diagnosis. The type of surgery depends upon how widespread the tumor is when diagnosed (the tumor stage), as well as the type and grade of tumor. The term “treatment” as provided herein does not require the complete or 100% curing of the subject. Instead, it encompasses the broader concept or delaying the onset of one or more symptoms, extending the life and/or quality of life of the subject, reducing the severity of one or more symptoms, etc.

“Risk” herein is the likelihood for a subject diagnosed with DCIS to have a subsequent ipsilateral breast event after having a first DCIS event. Primary treatment for DCIS can include surgery, radiation, or an adjuvant chemotherapy. In some embodiments, the initial DCIS can be removed. The event can be a DCIS event or an invasive breast cancer event. “Risk of invasive breast cancer”, denotes a risk of developing (or being diagnosed with) a subsequent invasive breast cancer in the same (a.k.a. ipsilateral) breast. That is also true for “risk of DCIS” or total risk. In some embodiments, the initial DCIS can be removed.

In some embodiments, surgery as a treatment for DCIS breast tumors and/or preventing or reducing the risk of subsequent ipsilateral invasive breast cancer can include a lumpectomy, mastectomy, and/or bilateral mastectomy.

Adjuvant chemotherapy is often used after surgery to treat any residual disease. Systemic chemotherapy often includes a platinum derivative with a taxane. Adjuvant chemotherapy is also used to treat subjects who have a recurrence or metastasis.

“Adjuvant DCIS treatment” denotes any treatment that is appropriate for a subject that is likely to have a subsequent DCIS event, which can include, less aggressive to more aggressive treatment options depending on the risk profile and perceived patient benefit, from frequent monitoring with planned subsequent lumpectomy upon early detection of a breast event, to lumpectomy without radiation, to an additional lumpectomy, to wide excision. In some embodiments, a subject at risk of DCIS recurrence, but not invasive breast cancer can receive adjuvant DCIS treatment (optionally, in combination with any of the embodiments provided herein).

“Adjuvant invasive breast cancer treatment” denotes any treatment that is appropriate for a subject that is likely to have an invasive breast cancer occurrence, which can include, lumpectomy with radiation, to lumpectomy with a receptor targeted chemotherapy, to lumpectomy with radiation with a receptor targeted chemotherapy, to mastectomy, to mastectomy with a receptor targeted chemotherapy, to mastectomy with radiation, to mastectomy with radiation and a receptor targeted chemotherapy, to surgery with a chemotherapy. In some embodiments, a subject at risk of DCIS recurrence, but not invasive breast cancer can receive adjuvant DCIS treatment (optionally, in combination with any of the embodiments provided herein).

A “marker” refers to a measured biological component such as a protein, mRNA transcript, or a level of DNA amplification. The risk of a subsequent ipsilateral breast event can be predicted through various sets or markers that in combination allow for the prediction of whether or not a subject who has DCIS is likely to experience an ipsilateral DCIS recurrence, a subsequent ipsilateral invasive breast cancer, both, or neither following treatment for DCIS.

The term “control” refers to a sample or standard used for comparison with a sample which is being examined, processed, characterized, analyzed, etc. In some embodiments, the control is a sample obtained from a healthy patient or a non-tumor tissue sample obtained from a patient diagnosed with a breast tumor. In some embodiments, the control is a historical control or standard reference value or range of values (such as a previously tested control sample, such as a group of breast tumor patients with poor prognosis, or group of samples that represent baseline or normal values, such as the level of cancer-associated genes in non-tumor tissue).

The “Cox hazard ratio” is derived from the Cox proportional hazards model. Proportional hazards models are a class of survival models in statistics. Survival models relate the time that passes before some event occurs to one or more covariates that may be associated with that quantity of time. In the Cox proportional hazards model, the unique effect of a unit increase in a covariate is multiplicative with respect to the hazard rate. A “Cox hazard ratio” is the ratio of the hazard rates corresponding to the conditions described by two levels of an explanatory variable—a covariate, that is calculated using the cox proportional hazards model. The cox hazard ratio is the ratio of survival hazards for a one-unit change in the covariate. For example, the Cox hazard ratio may be the ratio of survival hazards for a 1 unit change in the logarithmic gene expression level. Thus, a larger value has a greater effect on survival or the hazard rate of the event being assessed, such as disease recurrence. In some embodiments, a hazard ratio (HR) greater than 1 indicates that an increased covariate level is associated with a worse patient outcome, where the covariate level is a marker expression level. In some embodiments, a HR less than 1 indicates that a decreased covariate level is associated with a better patient outcome, where the covariate level is a marker expression level.

As used herein, the term “non-tumor tissue sample” shall be taken to include any sample from or including a normal or healthy cell or tissue, or a data set produced using information from a normal or healthy cell or tissue. For example, the non-tumor sample may be selected from the group comprising or consisting of: (i) a sample comprising a non-tumor cell; (ii) a sample from a normal tissue; (iii) a sample from a healthy tissue; (iv) an extract of any one of (i) to (iii); (v) a data set comprising measurements of modified chromatin and/or gene expression for a healthy individual or a population of healthy individuals; (vi) a data set comprising measurements of modified chromatin and/or gene expression for a normal individual or a population of normal individuals; and (vii) a data set comprising measurements of the modified chromatin and/or gene expression from the subject being tested wherein the measurements are determined in a matched sample having normal cells. Preferably, the non-tumor sample is (i) or (ii) or (v) or (vii).

As used herein, the term “subject” encompasses any animal including humans, preferably a mammal. Exemplary subjects include but are not limited to humans, primates, livestock (e.g. sheep, cows, horses, donkeys, pigs), companion animals (e.g. dogs, cats), laboratory test animals (e.g. mice, rabbits, rats, guinea pigs, hamsters), captive wild animals (e.g. fox, deer). Preferably the mammal is a human or primate. More preferably the mammal is a human.

Detecting expression of a gene product denotes determining of a level expression in either a qualitative or quantitative manner can detect nucleic acid molecules or proteins. Exemplary methods include, but are not limited to: microarray analysis, RT-PCR, Northern blot, Western blot, next generation sequencing, and mass spectrometry.

The term “diagnosis” denotes the process of identifying a disease by its signs, symptoms and results of various tests. The conclusion reached through that process is also called “a diagnosis.” Forms of testing commonly performed include biopsy for the collection of the DCIS. In some embodiments, a diagnosis includes determining whether a subject with DCIS has a good or poor prognosis. In some embodiments, the prognosis can be a high or low likelihood of a subsequent (within the next 10 years, 15, or 20 years) DCIS event. In some embodiments, the prognosis can be a high or low likelihood of a (within the next 10 years, 15, or 20 years) invasive breast cancer event. In some embodiments, the prognosis can be a high or low likelihood of a subsequent (within the next 10 years) DCIS event and a high or low likelihood of a (within the next 10 years) invasive breast cancer event.

“Differential or alteration in expression” denotes a difference or change, such as an increase or decrease, in the amount of RNA, the conversion of mRNA to a protein, level of protein in the system, or any combination thereof. In some examples, the difference is relative to a control or reference value or range of values, such as an amount of gene expression that is expected in a subject who does not have DCIS and/or an invasive breast cancer or in non-tumor tissue from a subject with a breast tumor. Detecting differential expression can include measuring a change in gene expression or a change in protein levels.

The term “expression” denotes the process by which the coded information of a gene is converted into an operational, non-operational, or structural part of a cell, such as the synthesis of an RNA and/or protein. Gene expression can be influenced by external signals. For instance, exposure of a cell to a hormone may stimulate expression of a hormone-induced gene. Different types of cells can respond differently to an identical signal. Expression of a gene also can be regulated anywhere in the pathway from DNA to RNA to protein. Regulation can include controls on transcription, translation, RNA transport and processing, degradation of intermediary molecules such as mRNA, or through activation, inactivation, compartmentalization or degradation of specific protein molecules after they are produced. In some embodiments, gene expression can be monitored to determine the diagnosis and/or prognosis of a subject with DCIS, such as to determine or to predict a subject's likelihood to develop a subsequent DCIS or invasive breast cancer. In some embodiments, mRNA expression can be monitored to determine the diagnosis and/or prognosis of a subject with DCIS, such as to determine or to predict a subject's likelihood to develop a subsequent DCIS or invasive breast cancer. In some embodiments, protein expression can be monitored to determine the diagnosis and/or prognosis of a subject with DCIS, such as to determine or to predict a subject's likelihood to develop a subsequent DCIS or invasive breast cancer.

The expression of a nucleic acid molecule in a sample can be altered relative to a control sample, such as a normal or non-tumor sample. Alterations in gene expression, such as differential expression, include but are not limited to: (1) overexpression; (2) under expression; or (3) suppression of expression. Alterations in the expression of a nucleic acid molecule can be associated with, and in fact cause, a change in expression of the corresponding protein.

In some embodiments, protein expression can also be altered in some manner to be different from the expression of the protein in a normal (e.g., non-DCIS) situation. This includes but is not necessarily limited to: (1) expression of an increased amount of the protein compared to a control or standard amount; (2) expression of a decreased amount of the protein compared to a control or standard amount; (3) alteration of the subcellular localization or targeting of the protein; (4) alteration of the temporally regulated expression of the protein (such that the protein is expressed when it normally would not be, or alternatively is not expressed when it normally would be); (5) alteration in stability of a protein through increased longevity in the time that the protein remains localized in a cell; and (6) alteration of the localized (such as organ or tissue specific or subcellular localization) expression of the protein (such that the protein is not expressed where it would normally be expressed or is expressed where it normally would not be expressed), each compared to a control or standard.

Controls or standards for comparison to a sample, for the determination of differential expression, include samples believed to be normal (in that they are not altered for the desired characteristic, for example a sample from a subject who does not have DCIS or who had DCIS but did not experience any DCIS and/or invasive breast cancer in the 10 years following the DCIS event, as well as laboratory values (e.g., range of values), even though possibly arbitrarily set, keeping in mind that such values can vary from laboratory to laboratory. Laboratory standards and values can be set based on a known or determined population value and can be supplied in the format of a graph or table that permits comparison of measured, experimentally determined values.

As will be appreciated by one of skill in the art, any of the above controls or standards can be provided for any of the methods (such as treatment, analysis, or prognosis) provided herein, and for any of the compositions or methods. These can be positive or negative controls or standards (showing, for example, what a high level or normal level of expression or presence of the molecule is). The controls can be matched for the relevant molecule type as well (e.g., RNA vs. protein). In some embodiments, the control and/or standard can be for COX-2, Ki-67, p16, PR, SIAH2, FOXA1, and/or HER2. In some embodiments, the control and/or standard can be for COX-2, Ki-67, p16, ER, SIAH2, FOXA1, and/or HER2. In some embodiments, any of the PR embodiments provided herein can be replaced with ER as a marker.

The phrase “gene expression profile” (or signature) denotes a differential or altered gene expression that can be detected by changes in the detectable amount of gene expression (such as cDNA, mRNA, or protein) or by changes in the detectable amount of proteins expressed by those genes. A distinct or identifiable pattern of gene expression, for instance a pattern of high and low expression of a defined set of genes or gene-indicative nucleic acids such as ESTs. In some examples, as few as two genes provides a profile, but more genes can be used in a profile, for example, at least 3, 4, 5, 6, or 7 markers (e.g., genes) can be employed to provide a prognosis in regard to risk of subsequent DCIS and/or risk of subsequent invasive breast cancer. Gene expression profiles can include relative as well as absolute expression levels of specific genes, and can be viewed in the context of a test sample compared to a baseline or control sample profile (such as a sample from the same tissue type from a subject who does not have a tumor). In some embodiments, a gene expression profile in a subject is read on an array (such as a nucleic acid or protein array). For example, a gene expression profile can be performed using a commercially available array such as Human Genome GeneChip™ arrays from Affymetrix™ (Santa Clara, Calif.). In some embodiments, any two or more of the markers indicated in any one of Tables 1-11 and 13-15 can be employed as a profile. The term “hybridization” means to form base pairs between complementary regions of two strands of DNA, RNA, or between DNA and RNA, thereby forming a duplex molecule, for example. Hybridization conditions resulting in particular degrees of stringency will vary depending upon the nature of the hybridization method and the composition and length of the hybridizing nucleic acid sequences. Generally, the temperature of hybridization and the ionic strength (such as the sodium concentration) of the hybridization buffer will determine the stringency of hybridization. Calculations regarding hybridization conditions for attaining particular degrees of stringency are discussed in Sambrook et al., (1989) Molecular Cloning, second edition, Cold Spring Harbor Laboratory, Plainview, N.Y. (chapters 9 and 11).

The term “isolated” as used in an “isolated” biological component (such as a nucleic acid molecule, protein, or cell) is one that has been substantially separated or purified away from other biological components in the cell of the organism, or the organism itself, in which the component naturally occurs, such as other chromosomal and extra-chromosomal DNA and RNA, proteins and cells. Nucleic acid molecules and proteins that have been “isolated” include nucleic acid molecules and proteins purified by standard purification methods. The term also embraces nucleic acid molecules and proteins prepared by recombinant expression in a host cell as well as chemically synthesized nucleic acid molecules and proteins. In some embodiments, an isolated cell is a DCIS cell that is substantially separated from other breast cell types, such as non-tumor breast cells.

The term “label” or “probe” denotes an agent capable of detection, for example by ELISA, spectrophotometry, flow cytometry, or microscopy. For example, a label can be attached to a nucleic acid molecule or protein (such as one that can hybridize or bind to any of the markers in any one or more of Tables 1-11 and 13-15), thereby permitting detection of the nucleic acid molecule or protein. Examples of labels include, but are not limited to, radioactive isotopes, enzyme substrates, co-factors, ligands, chemiluminescent agents, fluorophores, haptens, enzymes, and combinations thereof. Methods for labeling and guidance in the choice of labels appropriate for various purposes are discussed for example in Sambrook et al. (Molecular Cloning: A Laboratory Manual, Cold Spring Harbor, N.Y., 1989) and Ausubel et al. (In Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998). In some embodiments, a label is conjugated to a binding agent that specifically binds to one or more of the markers disclosed in any one or more of Tables 1-11 and 13-15 to allow for detecting the presence of the marker in a subject or a DCIS sample from the subject.

The term “mammal” includes both human and non-human mammals. Examples of mammals include, but are not limited to: humans, pigs, cows, goats, cats, dogs, rabbits, rats, and mice.

A nucleic acid array is an arrangement of nucleic acids (such as DNA or RNA) in assigned locations on a matrix, such as that found in cDNA arrays, or oligonucleotide arrays.

A “nucleic acid molecules representing genes” is any nucleic acid, for example DNA (intron or exon or both), cDNA, or RNA (such as mRNA), of any length suitable for use as a probe or other indicator molecule, and that is informative about the corresponding gene, such as those listed in Tables 1-11 and 13-15.

“Polymerase chain reaction” (PCR) is an in vitro amplification technique that increases the number of copies of a nucleic acid molecule (for example, a nucleic acid molecule in a sample or specimen), such as amplification of a nucleic acid molecule listed in Tables 1-11 and 13-15. The product of a PCR can be characterized by standard techniques known in the art, such as electrophoresis, restriction endonuclease cleavage patterns, oligonucleotide hybridization or ligation, and/or nucleic acid sequencing. In some examples, PCR utilizes primers, for example, DNA oligonucleotides 10-100 nucleotides in length, such as about 15, 20, 25, 30 or 50 nucleotides or more in length (such as primers that can be annealed to a complementary target DNA strand by nucleic acid hybridization to form a hybrid between the primer and the target DNA strand, such as those listed in Tables 1-11 and 13-15). Primers can be selected that include at least 15, at least 20, at least 25, at least 30, at least 35, at least 40, at least 45, at least 50 or more consecutive nucleotides of a marker provided herein. Methods for preparing and using nucleic acid primers are described, for example, in Sambrook et al. (In Molecular Cloning: A Laboratory Manual, CSHL, New York, 1989), Ausubel et al. (ed.) (In Current Protocols in Molecular Biology, John Wiley & Sons, New York, 1998), and Innis et al. (PCR Protocols, A Guide to Methods and Applications, Academic Press, Inc., San Diego, Calif., 1990).

The term “prognosis” denotes a prediction of the course of a disease. In some embodiments provided herein, the phrase, when used in the context of a person already having DCIS, denotes the likelihood that a subject having the DCIS will go on (within a following ten, fifteen, or twenty year period) to have a subsequent a) ipsilateral DCIS event after surgical removal of the primary DCIS, b) ipsilateral invasive breast cancer, c) both events, or d) neither a) nor b). The prediction can include determining a) the likelihood of an ipsilateral breast event, b) the likelihood of an ipsilateral breast event in a particular amount of time (e.g., 1, 2, 3 or 5 years), c) the likelihood that a particular therapy (e.g., radiation) will prevent an ipsilateral breast event, d) an optimal treatment to help prevent an ipsilateral event that matches the severity of the most likely event, or e) combinations thereof.

The phrase “specific binding agent” denotes an agent that binds substantially or preferentially only to a defined target such as a protein, enzyme, polysaccharide, oligonucleotide, DNA, RNA, recombinant vector or a small molecule. In an example, a “specific binding agent” is capable of binding to at least one of the disclosed markers (such as those listed in Tables 1-11 and 13-15). In some embodiments, the specific binding agent is capable of binding to a downstream factor regulated by at least one of the disclosed markers (such as those listed in Tables 1-11 and 13-15). Thus, a nucleic acid-specific binding agent binds substantially only to the defined nucleic acid, such as RNA, or to a specific region within the nucleic acid. For example, a “specific binding agent” includes an antisense compound (such as an antisense oligonucleotide, siRNA, miRNA, shRNA or ribozyme) that binds substantially to a specified RNA.

A “protein-specific binding agent” binds substantially only the defined protein, or to a specific region within the protein. For example, a “specific binding agent” includes antibodies and other agents that bind substantially to a specified polypeptide. Antibodies can be monoclonal or polyclonal antibodies that are specific for the polypeptide, as well as immunologically effective portions (“fragments”) thereof. The determination that a particular agent binds substantially only to a specific polypeptide may readily be made by using or adapting routine procedures. One suitable in vitro assay makes use of the Western blotting procedure (described in many standard texts, including Harlow and Lane, Using Antibodies: A Laboratory Manual, CSHL, New York, 1999).

Cyclooxygenase-2 (“prostaglandin-endoperoxide synthase 2,” “PTGS2,” and “COX-2”; HGNC:9605), referenced herein as COX-2, is an enzyme that is encoded by the PTGS2 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of COX-2”), denotes all of the above options together and individually (e.g., COX-2 protein level and COX-2 RNA level, or COX-2 protein level, or COX-2 RNA level).

Marker of proliferation Ki-67 (“MKI67” and “MIB-1”; HGNC:7107), referenced herein as Ki-67, is a protein that is encoded by the MKI67 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of p16”), denotes all of the above options together and individually (e.g., Ki-67 protein level and Ki-67 RNA level, or Ki-67 protein level, or Ki-67 RNA level).

p16 isoform of cyclin-dependent kinase inhibitor 2A (“cyclin-dependent kinase inhibitor 2A,” “p16/INK4A,” “CDKN2A,” and “MTS1”; HGNC:1787), referenced herein as “p16”, is a tumor suppressor protein that is encoded by the CDKN2A gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of p16”), denotes all of the above options together and individually (e.g., p16 protein level and p16 RNA level, or p16 protein level, or p16 RNA level).

Progesterone receptor (“NR3C3,” “PR,” and “PGR”; HGNC:8910), referenced herein as “PR”, is a protein that is encoded by the PGR gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of PR”), denotes all of the above options together and individually (e.g., PR protein level and PR RNA level, or PR protein level, or PR RNA level).

Estrogen receptor 1 (“ESR1,” “ER,” “ESR,” “Era,” “ESRA,” “ESTRR,” and “NR3A1”; HGNC:3467), referenced herein as “ER”, is a protein that is encoded by the ESR1 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of ER”), denotes all of the above options together and individually (e.g., ER protein level and ER RNA level, or ER protein level, or ER RNA level).

SIAH2 E3 ubiquitin protein ligase 2 (“SIAH2” and “seven in absentia [Drosophila] homolog 2”; HGNC:10858), referenced herein as SIAH2, is an enzyme that is encoded by the SIAH2 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level” of SIAH2″), denotes all of the above options together and individually (e.g., SIAH2 protein level and SIAH2 RNA level, or SIAH2 protein level, or SIAH2 RNA level).

forkhead box A1 (“FOXA1”; HGNC:5021), referenced herein as FOXA1, is a protein that is encoded by the FOXA1 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of FOXA1”), denotes all of the above options together and individually (e.g., FOXA1 protein level and FOXA1 RNA level, or FOXA1 protein level, or FOXA1 RNA level).

v-erb-b2 avian erythroblastic leukemia viral oncogene homolog 2″ (“ERBB2,” “HER2” [human epidermal growth factor receptor 2], “NEU”, and “CD340”; HGNC:3430), referenced herein as “HER2”, is a protein that is encoded by the ERBB2 gene. Unless denoted otherwise, the term can encompass DNA, RNA, and/or protein versions. Thus, a level of the indicated marker can denote, for example, RNA levels or protein levels. The use of the generic term herein (such as a “level of HER2”), denotes all of the above options together and individually (e.g., HER2 protein level and HER2 RNA level, or HER2 protein level, or HER2 RNA level).

A subject having “post menopausal” status can be identified by menstrual cessation (if known) or by age (if menstrual status not known) for example, greater than 50, such as greater than 55.

General Description of Various Embodiments

In some embodiments, any of the methods, compositions, kits, systems, etc. described herein, can be used employing one or more of the following markers and/or combinations (and/or other noted variable), outlined in Tables 1-9 11, 14, and 15 for markers that are relevant to DCIS (Table 9 for the noted combinations) and Tables 10, 11, 13 and 15 for markers that are relevant to invasive breast cancer.

As used herein, a reference to Table 10 includes both “Table 10” and “Table 10.1” unless specifically noted otherwise. In the tables herein, PR− means PR negative, means PR positive, HER2− means HER2 negative and HER2+ means HER2 positive. In some embodiments, the marker scores (e.g., SIAH2>30) are immunoscores.

TABLE 1 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 PR− is an invasive Invasive Age <50 PR− PR+ 6.0 (20-18.1) 0.00028 168 Strong risk factor in risk patients younger than 50 2 The combination of Invasive Total PR− & PR+ or Age 4.1 (2.2-7.4)  0.000036 603 Strong PR− and Age <50 is risk Age <50 ≥50 an invasive risk factor 3 Age alone is a low- Insufficient Total Age <50 Age ≥50 1.8 (1.0-3.3)  0.042 603 Weak moderate risk for invasive factor for invasive prognosis risk 4 PR status alone is Insufficient Total PR− PR+ 1.6 (0.9-2.9) 0.11 603 None not sufficient to for invasive predict invasive risk prognosis

TABLE 2 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Elevated SIAH2 is DCIS risk Total HER2+ & HER2− & 2.8 (1.3-6.1) 0.015 461 Significant a DCIS risk factor SIAH2 ≥30 SIAH2 <30 in HER2+ patients 2 Elevated SIAH2 is DCIS risk Total HER2+ & HER2− & 2.2 (1.1-4.6) 0.04 461 Weak a DCIS risk factor SIAH2 ≥20 SIAH2 <20 in HER2+ patients 3 HER2 status alone Insufficient Total HER2+ HER2− 1.8 (0.9-3.7) 0.099 461 None is not sufficient to for DCIS predict risk prognosis 4 Elevated SIAH2 Insufficient Total SIAH2 ≥30 SIAH2 <30 1.9 (1.0-3.9) 0.062 461 None alone is not for DCIS sufficient to predict prognosis DCIS risk

TABLE 3 Higher Risk Lower Risk Hazard Row Comment Prognosis Pop. factors factors Ratio P-value n Significance 1 Elevated SIAH2 is DCIS risk PR− SIAH2 ≥30; SIAH2 <30; 4.1 0.011 196 Strong a DCIS risk factor PR− PR− (1.3-13.1) in PR− patients 2 Elevated SIAH2 is DCIS risk PR− SIAH2 ≥20; SIAH2 <20; 9.2 0.0037 196 Strong a DCIS risk factor PR− PR− (1.2-70.2) in PR− patients 3 PR status alone is Insufficient Total PR− PR+ 1.0 0.94 461 None not sufficient to for DCIS (0.5-2.0) predict DCIS risk prognosis 4 Elevated SIAH2 Insufficient Total SIAH2 ≥20 SIAH2 <20 1.6 0.18 461 None alone is not for DCIS (0.8-3.2) sufficient to prognosis predict DCIS risk

TABLE 4 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Elevated SIAH2 is DCIS risk PR− or SIAH2 ≥30; SIAH2 <30; 3.5 (1.0-12.1) 0.026 220 Significant a DCIS risk factor HER+ (PR− or (PR− or in PR− or HER2+ HER2+) HER2+) patients 2 Elevated SIAH2 is DCIS risk PR− or SIAH2 ≥20; SIAH2 <20; 3.3 (1.2-8.9)  0.013 220 Significant a DCIS risk factor HER2+ (PR− or (PR− or in PR− or HER2+ HER2+) HER2+) patients 3 PR− or HER2+ Insufficient Total PR− or PR+ and 1.3 (0.6-2.5)  0.49 457 None alone is not for DCIS HER2+ HER2− sufficient to predict prognosis DCIS risk

TABLE 5 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Elevated SIAH2 is DCIS risk Age >55 SIAH2 ≥30; SIAH2 <30; 4.4 (1.8-11.0) 0.0014 258 Strong a DCIS risk factor AGE >55 AGE >55 in patients older than 55 2 Elevated SIAH2 is DCIS risk Age >55 SIAH2 ≥40; SIAH2 <40; 4.0 (1.6-9.9)  0.0054 258 Strong a DCIS risk factor AGE >55 AGE >55 in patients older than 55 3 Age alone not Insufficient Total Age >55 Age ≤55 1.1 (0.5-2.1)  0.85 461 None sufficient to predict for DCIS DCIS risk prognosis 4 Elevated SIAH2 Insufficient Total SIAH2 ≥30 SIAH2 <30 1.9 (1.0-3.9)  0.063 461 None alone is not for DCIS sufficient to predict prognosis DCIS risk 5 Elevated SIAH2 Insufficient Total SIAH2 ≥20 SIAH2 <20 1.6 (0.8-3.2)  0.18 461 None alone is not for DCIS sufficient to predict prognosis DCIS risk 6 Elevated SIAH2 Insufficient Total SIAH2 ≥40 SIAH2 <40 1.9 (0.9-4.0)  0.10 461 None alone is not for DCIS sufficient to predict prognosis DCIS risk

TABLE 6 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Low FOXA1 is a DCIS risk PR+ FOXA1 ≤150; FOXA1 >150; 2.2 (1.0-4.8) 0.049 301 Weak DCIS risk factor PR+ PR+ within PR+ patients 2 Low FOXA1 is a DCIS risk PR+ FOXA1 ≤100; FOXA1 >100; 2.7 (1.2-5.8) 0.018 301 Significant DCIS risk factor PR+ PR+ with PR− patients 3 PR status alone is Insufficient Total PR+ PR− 1.1 (0.6-2.1) 0.68 518 None not sufficient to for DCIS predict DCIS risk prognosis 4 Low FOXA1 alone Insufficient Total FOXA1 ≤100 FOXA1 >100 1.6 (0.8-2.9) 0.16 518 None is not sufficient to for DCIS predict DCIS risk prognosis 5 Low FOXA1 alone Insufficient Total FOXA1 ≤150 FOXA1 >150 1.5 (0.8-2.8) 0.18 518 None is not sufficient to for DCIS predict DCIS risk prognosis

TABLE 7 Higher Risk Lower Risk Hazard Row Comment Prognosis Pop. factors factors Ratio P-value n Significance 1 Low FOXA1 DCIS risk PR+ & FOXA1 ≤150; FOXA1 >150; 3.6 0.0091 175 Strong defined as Age <60 PR+ and PR+ and (1.4-9.6) ≤150 is a DCIS AGE <60 AGE <60 risk factor in PR+ patients younger than 60 2 Low FOXA1 DCIS risk PR+ & FOXA1 ≤100; FOXA1 >100; 3.9 0.0064 175 Strong defined as Age <60 PR+ and PR+ and (1.5-10.2) ≤150 is a DCIS AGE <60 AGE <60 risk factor in PR+ patients younger than 60 3 Low FOXA1 Insufficient Age <60 FOXA1 ≤100; FOXA1 >100; 2.1 0.065 300 None status for DCIS AGE <60 AGE <60 (1.0-4.4) defined as prognosis ≤100 is not sufficient to predict DCIS risk in patients younger than 60 4 PR status Insufficient Age <60 PR+; PR+; 1.2 0.62 300 None alone is not for DCIS AGE <60 AGE <60 (0.6-2.7) sufficient to prognosis predict DCIS risk in patients younger than 60

TABLE 8 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Elevated SIAH2 DCIS risk PR− & SIAH2 ≥30; SIAH2 <30; 6.5 (1.4-30.6) 0.0069 122 Strong defined as ≥30 is a FOXA1 >100 PR− & PR− & DCIS risk factor in FOXA1 >100 FOXA1 >100 PR− patients with elevated FOXA1 defined as >100 2 The combination of DCIS risk FOXA1 >100 PR− & (PR+ or 3.9 (1.6-9.6)  0.0055 328 Strong PR− and elevated SIAH2 ≥30; SIAH2 <30); SIAH2 defined as FOXA1 >100 FOXA1 >100 ≥30 is a DCIS risk factor in the elevated FOXA1 category

TABLE 9 Pop. Evaluation of Risk Factors Hazard w/in the Ratio population (95% n subset Higher Risk Lower Risk Confid. # of Row Comment Prognosis indicated factors factors Interval) P-value Patients Significance 1 Combined SIAH2, DCIS risk TOTAL (FOXA1−, OTHER = 4.4 (2.1-9.0) 9.09E−06 497 Very Strong FOXA1 PR HER2 PR+) or (FOXA1+ and KI67 and ((PR− or PR−) margin status form |HER2+), AND a significant risk SIAH2+) or [(PR+ AND prognosis for DCIS ((PR+ |HER2+), HER2−) KI67+) or |SIAH2−] margin AND positive [(PR− AND HER2−) |KI67−)] AND MARGIN STATUS NEGATIVE 2 Combined SIAH2, DCIS risk TOTAL (FOXA1−, OTHER = 3.0 (1.6-5.7) 5.50E−04 497 Strong FOXA1 PR HER2 PR+) or (FOXA1+ and KI67 form a ((PR− or PR−) a significant risk |HER2+), AND prognosis for DCIS SIAH2+) or [(PR+ AND ((PR+ |HER2+), HER2−) KI67+) |SIAH2−] AND [(PR− AND HER2−) |KI67−)] 3 Combined SIAH2, DCIS risk TOTAL (FOXA1−, OTHER = 2.6 (1.4-4.9) 2.70E−03 497 Significant FOXA1 PR HER2 PR+) or (FOXA1+ form a significant ((PR− or PR−) risk prognosis for |HER2+), AND DCIS SIAH2+) [(PR+ AND HER2−) or SIAH2−] 4 Combined SIAH2, DCIS risk RT− (FOXA1−, OTHER = 4.4 (1.9-10)  2.70E−04 497 Very Strong FOXA1 PR HER2 PR+) or (FOXA1+ form a significant ((PR− or PR−) risk prognosis for |HER2+), AND DCIS in RT− SIAH2+); RT− [(PR+ AND HER2−) or SIAH2−] AND RT−

Table 9 provides a summary of the marker combinations that indicate a high risk of a subject diagnosed with DCIS experiencing an ipsilateral DCIS event after surgical removal of the primary DCIS.

Table 10 (below) provides a summary of the combinations that indicate a high risk of a subject diagnosed with DCIS experiencing an ipsilateral invasive event.

TABLE 10 Pop. Evaluation of Risk Factors Hazard w/in the Ratio n population (95% Number subset Higher Risk Lower Risk Confidence of Row Comment Prognosis indicated Markers Markers Interval) P-value Patients Significance 1 PR− is an Invasive Age <50 PR−; PR+; 6.0 (2.0-18.1) 0.0002800 168 Strong invasive risk AGE <50 AGE <50 risk factor in pateints younger than 50 2 The Invasive Total PR− & PR+ or 4.1 (2.2-7.4) 0.0000360 603 Strong combination risk Age <50 Age ≥50 of PR & Age <50 is an invasive risk factor 3 Age alone Insufficient Total Age <50 Age ≥50 1.8 (1.0-3.3) 0.0420000 603 Significant is a low- for moderate Invasive risk factor Prog. for invasive risk 4 PR status Insufficient Total PR− PR+ 1.6 (0.9-2.9) 0.1100000 603 None alone is not for sufficient to Invasive predict Prog. invasive risk 5 HER2− is Invasive PR− & HER2−; HER+; >5 0.0230000  77 Strong an invasive risk SIAH2 <20 (PR− & (PR− & risk factor SIAH2 <20) SIAH2 <20) in patients that are PR− and low SIAH2 defined as <20 6 Low SIAH2 Invasive PR− (SIAH2 <200 Other = 9.3 (1.2-71.5) 0.0039000 196 Strong defined as risk & (SIAH2+ or <20 & HER2−; HER2+) HER2− OR, PR−) AND elevated or (P16− or p16 defined (P16 >25 KI67−) as >25 & & AND KI67 ≥15 KI67 ≥15; (P16− OR, PR−) and elevated Or COX-2−) p16 defined (P16 >25 AND as >25 & & COX-2 PR− elevated >6; PR−) COX-2 defined as >6 are invasive risk factors in PR− patients 7 Elevated Invasive PR+ (FOXA1 Other = 6.6 (1.8-23.9) 0.0009300 301 Strong FOXA1, risk >150, (FOXA1+ HER2−, HER2−, OR elevated COX-2 >6, HER2+ COX-2 and SIAH2 ≤20; OR low SIAH2 PR+) COX-2− OR . . . or OR 8 . . . elevated (Ki67 >5 & SIAH2+) Strong Ki67 and Size >5 mm; AND size >5 mm PR+) (KI67− or are Size ≤5 mm) invasive AND risk factors PR+ in PR+ patients 9 The Invasive PR+ FOXA1 Other = 5.9 (1.5-22.4) 0.0097000 301 Strong combination risk >150, (FOXA1− of HER2−, OR elevated COX-2 >6, HER2+ FOXA1, SIAH2 ≤20; OR HER2−, low PR+ COX-2− COX-2 and OR low SIAH2 SIAH2+) is an AND invasive PR+ risk factor in PR+ patients 10 Elevated Invasive PR+ (FOXA1 Other = 5.1 (1.4-18.3) 0.0049000 301 Strong FOXA1, risk >150, (FOXA1− HER2− and HER2−, OR elevated COX-2 >6, HER2+ COX-2 PR+) OR OR . . . or COX-2−) 11 . . . elevated (Ki67 >5 & AND Ki67 and Size >5 mm; (KI67− or size >5 mm PR+) Size ≤5 mm are AND invasive PR+ risk factors in PR+ patients 12 The Invasive PR+ FOXA1 Other 4.1 (1.1-15.6) 0.0400000 301 Significant combination risk >150, of HER2−, elevated COX-2 >6 FOXA1, HER2− and low COX-2 is an invasive risk factor in PR+ patients 13 The Invasive PR+ (Ki67 >5 & Other 10.0 (2.2-45.3) 0.0028000 301 Strong combination risk Size >5 mm; of PR+) elevated Ki67 and tumor size greater than 5 mm is an invasive risk factor in PR+ patients 14 Elevated Invasive PR+ (FOXA1 Other 4.4 (1.4-14.0) 0.0072000 301 Strong FOXA1, risk >150, HER2−, HER2−, elevated COX-2 >6, COX-2 and SIAH2 ≤20; low SIAH2 PR+) OR . . . or 15 The (FOXA1 combination >250, Strong of HER2−; elevated PR+) FOXA1 and HER2− is an invasive risk factor in PR+ patients 16 The Invasive PR+ FOXA1 Other 4.3 (1.3-14.5) 0.0190000 301 Strong combination risk >150, of HER2−, elevated COX-2 >6, FOXA1, SIAH2 ≤20 HER2−, low COX-2 and low SIAH2 is an invasive risk factor in PR+ patients 17 The Invasive PR+ FOXA1 Other 4.6 (1.0-21.0) 0.0470000 301 Significant combination risk >250, of HER2− elevated FOXA1 and HER2− is an invasive risk factor in PR+ patients 18 Low Invasive PR− FOXA1 OTHER = 2.3 (1-6.0) 0.086 217 Weak FOXA1 is risk ≤100; FOXA1+ an invasive PR−; and PR− risk factor in PR− patients 19 The Invasive PR− FOXA1 OTHER = 2.5 (1-6) 0.065 217 Weak combination risk ≤100; FOXA1+ of Low HER2−; or FOXA1 and PR− HER2+) HER2− and PR− status is an invasive risk factor in PR− patients

TABLE 10.1 Pop. Evaluation of Risk Factors Hazard w/in the Ratio n population (95% Number subset Higher Risk Lower Risk Confidence of Row Comment Prognosis indicated Markers Markers Interval) P-value Patients Significance 1 The combination Invasive risk Age <50 PR− or PR+ & 5.6 (1.6 to 19) 0.0062 165 Strong of (PR is NEG or HER2+ HER2− HER2 is POS) is an invasive risk factor in patients yonger than 50 2 The combination Invasive risk Total (PR− or (PR+ & 3.8 (2.1-6.9) 0.0000120 603 Strong of (PR is NEG or HER2+) & HER2− HER2 is POS) Age <50 AGE <50) and young AGE is or Age an invasive risk >=50 factor 3 The combination Invasive risk PR− ((FOXA1− Other 7.9 (1.8-34) 0.0056 231 Strong of HER2 is or NEGATIVE and SIAH2) PR is NEGATIVE &HER2−) with either SIAH2 or is LOW or FOXA1 (AGE <50 is LOW or the & (HER2+ combination of or PR−)) AGE is LOW with HER2 is POSITIVE and PR is NEGATIVE is an invasive risk factor 4 The combination Invasive risk Total (((FOXA1− Other 3.1 (1.6-5.9) 0.000832 544 Strong of HER2 is or NEGATIVE and SIAH2) PR is NEGATIVE &HER2−) with either SIAH2 or is LOW or FOXA1 (AGE <50 is LOW or the & (HER2+ combination of or PR−))) AGE is LOW with & PR− HER2 is POSITIVE and PR is NEGATIVE is an invasive risk factor 5 The combination Invasive risk PR POS (FOXA1+ Other 3.1 (1.0-9) 0.042 301 Significant of FOXA1 is & HER2− ELEVATED and & AGE is AGE >50) ELEVATED and HER2 is NEGATIVE is an invasive risk factor

Unless otherwise noted, the marker level (e.g. >250) or marker state (e.g. “+” or “−”), also referred to as “Marker thresholds”, were used for Table 10. Additionally, in Table 10, young: age<50; old: age≥50; PR−:<10%; PR+:≥10%; HER2−: 0-2+; HER2+: 3+; SIAH2−: ≤20%; SIAH2+: >20%; FOXA1 low: immunoscore ≤100; FOXA1 intermediate: immunscore>100 and ≤250; FOXA1 high: immunoscore>250; FOXA1 low: immunoscore ≤100; FOXA1 intermediate: immunscore>100 and ≥250; FOXA1 high: immunoscore>250. Unless denoted otherwise, a reference to Table 10 herein can include both tables 10 and 10.1.

In some embodiments, Table 11 provides a summary of the combinations that indicate a high risk of a subject diagnosed with DCIS experiencing an ipsilateral DCIS and/or invasive breast cancer after surgical removal of the primary DCIS.

TABLE 11 High Risk High Risk of DCIS of Invasive ipsilateral ipsilateral Combination of Markers event event PR+, FOXA1+ INVASIVE (PR+, FOXA1+) or ( KI67+, SIZE > 5) INVASIVE PR+ FOXA1+ COX-2+, KI67+ INVASIVE (PR+ FOXA1+ COX-2+, KI67+) or (KI67+, INVASIVE SIZE+) PR−, HER2−, and SIAH2− INVASIVE PR−, HER2−, and SIAH2−, premenopausal INVASIVE (PR−, HER2−, and SIAH2−) or (PR−, P16+, INVASIVE COX-2+) or (PR− P16+ KI67+) PR−, FOXA1− INVASIVE PR−, FOXA1− HER2− INVASIVE PR−, FOXA1−, Pre-menopausal INVASIVE (PR−, FOXA1−, and HER2−) or (PR−, P16+, INVASIVE COX-2+) or (PR− P16+ KI67+) (PR−, FOXA1−, and HER2−) or (PR−, HER2−, INVASIVE and SIAH2−) or (PR−, P16+, COX-2+) or (PR− P16+ KI67+) (PR+ FOXA1+ COX-2+, KI67+) or (PR−, INVASIVE HER2−, and SIAH2−) (PR+, FOXA1+) or (PR−, HER2−, and SIAH2−) INVASIVE SIAH2+ and PR− DCIS SIAH2+ and FOXA1+ DCIS SIAH2+ and HER2+ DCIS SIAH2+ and post-menopausal DCIS PR+ and FOXA1− DCIS SIAH2+ PR− FOXA1+ DCIS PR− FOXA1+ DCIS PR+ and FOXA1− premenopausal DCIS PR+ and FOXA1− or (KI67+ HER2−) or (KI67+ DCIS PR+) (SIAH2+, PR− FOXA1+) or (KI67+ HER2−) or DCIS (KI67+ PR+) (SIAH2+, PR−) or( SIAH2+ HER2+) or (KI67+ DCIS HER2−) or (KI67+ PR+) or (PR+ and FOXA1−) (SIAH2+, PR− FOXA1+) or (SIAH2+ HER2+) or DCIS (KI67+ HER2−) or (KI67+ PR+) or (PR+ and FOXA1−) SIAH2+ and PR− postmenopausal DCIS

Tables 10 and 11 outline the relevant markers for identifying the level of risk that a subject with DCIS has for experiencing invasive breast cancer. Table 11 provides a summary of the combinations that indicate a high risk to a subject who already has DCIS experiencing invasive breast cancer and/or a recurrence of DCIS. The above results (Tables 1-11, 13-15) are expressly contemplated for all embodiments of the various methods provided herein, as well as kits and compositions, etc.)

In some embodiments, any noted combination of the above markers or variables can be used for compositions or methods relating to DCIS recurrence and/or a risk of invasive breast cancer (as indicated). As noted herein, various combinations denote that the subject is at a relatively higher (or lower) risk of experiencing DCIS recurrence and/or a risk of invasive breast cancer. Thus, in some embodiments, this can be practically employed in terms of, for example, proper prognosis for the subject, advanced methods of treatment for the subject (for example, taking an approach that not only resolves DCIS that the subject currently has, but also addresses the risk level of DCIS recurrence and/or invasive breast cancer appropriately), methods for analyzing a sample (for example, a DCIS sample for various markers), compositions and kits that allow for the above noted methods, etc. In some embodiments, as demonstrated in the examples below, FOXA1 and PR predict ipsilateral event risk and identify a group with strong radiation response in ductal carcinoma in situ (DCIS). In some embodiments, in a PR− background, low FOXA1 correlates with invasive events, while in a background, high FOXA1 correlates with invasive recurrence. Both correlations are reversed for DCIS events. In some embodiments, separate biomarker-based risk models (algorithms) can be used to predict invasive and DCIS events, and at least some biomarkers can be assessed differently in the context of other markers, rather than being assigned a single weighting in a linear algorithm. In some embodiments, the PR/FOXA1 combination identifies a subset of patients who experience a remarkable benefit from RT relative to the remaining patients. In some embodiments, as shown in the examples below, validation of a multi-marker test that predicts recurrence in patients diagnosed with ductal carcinoma in situ (DCIS) treated with breast-conserving surgery (BCS) is provided. As shown, the studies indicate that the present approach to risk stratification modeling can accurately identify patients at risk for DCIS or invasive events after a primary DCIS diagnosis. In some embodiments, the models presented here (such as in the Examples below) are the basis of a comprehensive multi-marker panel. It should be noted that in certain embodiments, the risk models can be performed on a computing device while in other embodiments, the risk models can be performed manually.

In some embodiments, a method of analyzing a sample is provided. The method comprises analyzing a human DCIS tissue sample for PR, and either or both of: analyzing the sample for at least HER2 and SIAH2, and/or analyzing the sample for at least FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method of analyzing a sample is provided. The method comprises analyzing a human DCIS tissue sample for a level of at least SIAH2 and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method of analyzing a sample is provided. The method comprises providing a DCIS sample from a subject having DCIS; 1) analyzing the DCIS sample for SIAH2, and analyzing the DCIS sample for at least one of HER2, PR, FOXA1, or any combination thereof; or 2) analyzing the DCIS sample for FOXA1 and PR. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the DCIS sample for a level of at least PR, and at least either analyzing the sample for at least HER2 and SIAH2, or analyzing the sample for at least FOXA1. The method further comprises providing a prognosis based upon at least PR, HER2 and SIAH2 or based upon at least PR and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11).

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for a level of at least SIAH2 and FOXA1, and prognosing the subject as having an elevated risk of an invasive breast cancer based upon the level of at least SIAH2 and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11).

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for: a) PR, HER2, and SIAH2, or b) PR and FOXA1; and prognosing the subject as having an elevated risk of an invasive breast cancer event when at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+.

In some embodiments, a method for prognosing a risk of a subsequent DCIS event in a subject is provided. The method comprises providing a DCIS sample from a subject; analyzing the sample for at least one of: a) SIAH2 and FOXA1, b) SIAH2 and at least one of i) PR and ii) HER2, or c) SIAH2 and post-menopausal status; and d) PR and FOXA1, prognosing the subject as having an elevated risk of a DCIS event when at least one of: a) i) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−; SIAH2+ and post-menopausal; or and FOXA1−, is present in the DCIS sample.

In some embodiments, a method for treating a subject at risk of having an invasive breast cancer is provided. The method comprises providing a subject having DCIS, wherein the subject has a DCIS that is at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+; and administering to the subject a therapy that is more aggressive than standard of care for DCIS.

In some embodiments, a method for treating a subject at risk of having a DCIS recurrence is provided. The method comprises providing a subject having DCIS, wherein the subject has a DCIS that is at least one of: a) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−, c) SIAH2+ and post-menopausal status, or d) PR+ and FOXA1−, and administering to the subject a more aggressive therapy than standard of care for a single DCIS event.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis as described herein, and a) performing a therapy appropriate to reduce a risk of invasive breast cancer if the analysis or prognosis indicates a risk of invasive breast cancer, or b) performing a therapy appropriate to reduce a risk of DCIS recurrence if the analysis or prognosis indicates a risk of DCIS recurrence.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis as described herein, and either or both of: a) performing frequent breast monitoring for early detection of a subsequent ipsilateral breast event if the analysis or prognosis does not indicate an elevated or high risk of invasive breast cancer, and if the analysis or prognosis does not indicate an elevated or high risk of DCIS recurrence, and/or b) ensuring the subject has clear margins by surgical resection, if needed, and performing frequent breast monitoring for early detection of a subsequent ipsilateral breast event, if the analysis or prognosis does not indicate an elevated or high risk of invasive breast cancer and if the analysis or prognosis does indicate an elevated or high risk of DCIS recurrence. In some embodiments, the absence of a risk for invasive and/or DCIS recurrence is a combination of markers that fails to appear in Tables 1-11. By the use of such a method, one can achieve an ideal therapy for the subject, where the subject might otherwise (without having the benefit of the method) have had an unnecessarily aggressive therapy.

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method can involve applying an algorithm to the protein and/or mRNA expression level as an additional transformative process, to thereby provide a signature for the marker. The method comprises providing a DCIS sample from a subject, analyzing the DCIS sample for a level of at least PR, and at least either analyzing the sample for at least HER2 and SIAH2, or analyzing the sample for at least FOXA1. The method further comprises providing a prognosis based upon at least a PR, HER2 and SIAH2 signature or based upon at least a PR and FOXA1 signature. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for a level of at least SIAH2 and FOXA1, and prognosing the subject as having an elevated risk of an invasive breast cancer based upon the signature of at least SIAH2 and FOXA1. In some embodiments, depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 1-11, 13, and 15).

In some embodiments, a method for prognosing a risk of an invasive breast cancer event in a subject is provided. The method comprises providing a DCIS sample from a subject, analyzing the sample for: a) PR, HER2, and SIAH2, or b) PR and FOXA1; and prognosing the subject as having an elevated risk of an invasive breast cancer event using a signature comprising at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+.

In some embodiments, a method for prognosing a risk of a subsequent DCIS event in a subject is provided. The method comprises providing a DCIS sample from a subject; analyzing the sample for at least one of: a) SIAH2 and FOXA1, b) SIAH2 and at least one of i) PR and ii) HER2, or c) SIAH2 and post-menopausal status; and d) PR and FOXA1, prognosing the subject as having an elevated risk of a DCIS event using a signature comprising at least one of: a) i) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−; SIAH2+ and post-menopausal; or PR+ and FOXA1−, is present in the DCIS sample.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis (marker signatures) as described herein, and a) performing a therapy appropriate to reduce a risk of invasive breast cancer if the analysis or prognosis (marker signatures) indicates a risk of invasive breast cancer, or b) performing a therapy appropriate to reduce a risk of DCIS recurrence if the analysis or prognosis indicates a risk of DCIS recurrence.

In some embodiments, a method for treating a subject having DCIS is provided. The method comprises obtaining an analysis or prognosis (marker signatures) as described herein, and either or both of: a) performing frequent breast monitoring for early detection of a subsequent ipsilateral breast event if the analysis or prognosis (marker signatures) does not indicate an elevated or high risk of invasive breast cancer, and if the analysis or prognosis (marker signatures) does not indicate an elevated or high risk of DCIS recurrence, and/or b) ensuring the subject has clear margins by surgical resection, if needed, and performing frequent breast monitoring for early detection of a subsequent ipsilateral breast event, if the analysis or prognosis (marker signatures) does not indicate an elevated or high risk of invasive breast cancer and if the analysis or prognosis (marker signatures) does indicate an elevated or high risk of DCIS recurrence. In some embodiments, the absence of a risk for invasive and/or DCIS recurrence is a combination of markers that fails to appear in Tables 1-11 and 13-15. By the use of such a method, one can achieve an ideal therapy for the subject, where the subject might otherwise (without having the benefit of the method) have had an unnecessarily aggressive therapy.

In some embodiments, a method for treating a subject is provided. The method can include providing a subject having DCIS, wherein the subject has a DCIS that is none of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or d) PR+, FOXA1−, and Ki67+ and administering to the subject a therapy that is less aggressive than standard of care for DCIS.

In some embodiments, a method for treating a DCIS subject is provided. The method can comprise performing less than standard of care for a subject having DCIS where the standard of care for a subject having DCIS is breast-conserving surgery (BCS) with adjuvant radiation therapy, wherein the subject has a DCIS that lacks a combination of markers as indicated in Tables 1-11, 13, and 15 that would indicate an elevated risk of invasive breast cancer. Such a method allows for reduced surgeries and/or other therapies, where there is no, to little risk involved.

In some embodiments, a method for treating a DCIS subject is provided. The method can comprise performing a less than standard of care for a subject having DCIS, wherein the subject has a DCIS that lacks a combination of markers as indicated in Tables 1-11, 14, and 15 that would indicate an elevated risk of DCIS recurrence. Such a method allows for reduced surgeries and/or other therapies, where there is no or little risk involved.

In some embodiments, a method for treating a DCIS subject is provided. The method can comprise not treating the subject with an aggressive form of treatment for DCIS because the subject does not fall into a high risk category for invasive breast cancer as outlined in Tables 9 11, 13, and 15. In some embodiments, a method for treating a DCIS subject is provided. The method can comprise not treating the subject with an aggressive form of treatment for DCIS because the subject does not fall into a high risk category for recurrent DCIS events as outlined in Tables 9,11, 14, and 15. In some embodiments, any level of treatment applied, can be lower than that which one of skill in the art would administer, if they could not determine a risk of DCIS resulting in invasive breast cancer in the subject.

In some embodiments, any of the above methods can be combined with any one or more of the following further aspects as to methods.

Markers

In some embodiments, markers in addition to those noted above can be analyzed and/or assayed for. In some embodiments, if the sample is PR positive, one can further analyze the sample for a level of COX-2. In some embodiments, if the sample is PR positive, then one can further analyze the sample for Ki67 or size, or both Ki67 and size. In some embodiments, one can analyze the sample for p16 with Ki-67 or p16 with COX-2. In some embodiments, the method further comprises analyzing at least the following combinations: a) PR, HER2, and SIAH2, b) PR, FOXA1, and COX-2, and c) PR, FOXA1, and Ki67.

In some embodiments, markers in addition to those disclosed and described herein can be analyzed and/or assayed for. These additional markers are disclosed and described in. U.S. patent application Ser. No. 12/373,047, filed May 13, 2009 and U.S. patent application Ser. No. 13/094,729, filed Apr. 26, 2011, the contents of both applications are incorporated herein by reference in their entirety.

In some embodiments, the method further comprises analyzing at least COX-2, Ki67, p16, PR and HER2. In some embodiments, if the sample is PR positive, one can further analyze the sample for a level of COX-2, wherein COX-2+ with at least FOXA1+ indicates a high risk of invasive breast cancer. In some embodiments, if the sample is PR positive and there is a very high level of FOXA1, there is a high risk of invasive breast cancer. In some embodiments, if the sample is PR positive, then one can further analyze the sample for Ki67, size, or both Ki67 and size. In some embodiments, if the sample is PR positive and FOXA1−, one can further analyze the sample for a level of Ki67, size, or a level of Ki67 and size. Ki67+, a size larger than 5 mm of DCIS, or both, indicates an elevated risk of invasive breast cancer. In some embodiments, the method further comprises analyzing the sample for p16, COX-2, and Ki67.

In some embodiments, analysis of each marker is carried out in parallel with each other. In some embodiments, analysis of each marker is carried out at overlapping times.

In some embodiments, PR analysis occurs first and any further analysis depends upon the result of the PR analysis. In some embodiments, there is no required order for any of the tests and/or analysis for any of the markers provided herein.

In some embodiments, the method further comprises determining a prognosis of the subject with DCIS. At least a level of SIAH2 and FOXA1 relative to the non-DCIS control indicates that the subject has a poor prognosis or wherein no significant difference in the expression of SIAH2 and FOXA1 relative to a non-tumor control indicates that the subject has a good prognosis.

In some embodiments, the DCIS sample is further analyzed for COX-2. In some embodiments, the DCIS sample is further analyzed for p16. In some embodiments, the DCIS sample is analyzed for at least SIAH2, FOXA1, and PR. In some embodiments, the DCIS sample is further analyzed for HER2. In some embodiments, the DCIS sample is further analyzed for COX-2. In some embodiments, the DCIS sample is further analyzed for Ki67. In some embodiments, the DCIS sample is further analyzed for p16.

In some embodiments, the analysis (staining and/or scoring) includes SIAH2 and FOXA1. In some embodiments, the analysis further includes at least one of the following further combinations: 1) p16, 2) Ki67, 3) PR, 4) COX-2, 5) HER2, 6) p16 and Ki67, 7) p16 and PR, 8) p16 and COX-2, 9) p16 and HER2, 10) HER2 and Ki67, 11) HER2 and PR, 12) HER2 and COX-2, 13) p16, COX-2, and HER2, 14) HER2, COX-2, and Ki67, 15) HER2, COX-2, and PR, 16) HER2 and COX-2, 17) p16, Ki-67, COX-2, and HER2, 18) Ki-67, HER2, COX-2, and PR, and/or 19) Ki-67, HER2, COX-2, PR, and p16.

In some embodiments, the DCIS lesion is further analyzed for grade, necrosis, size, and/or margin status.

In some embodiments, the method further comprises prognosis of a risk by including age, menopausal status, mammographic density, tumor palpability of the subject.

In some embodiments, any of the “PR” steps, methods, compostions, etc. provided herein can be interchanged with an ER step (where ER staining and/or scoring is performed).

Reports/Recommendations

In some embodiments, any of the present methods can further comprise preparing a report regarding the risk associated with the human DCIS tissue sample. In some embodiments, the report is a written report providing the risk of invasive breast cancer. In some embodiments, the report is generated from and/or includes one or more of the marker combinations provided in Tables 1-11 and 13-15.

In some embodiments, any of the present methods further comprise providing a report regarding a level of risk of a subsequent DCIS event. In some embodiments, the report is a written report providing the risk of a subsequent DCIS event. In some embodiments, the report is generated from and/or includes one or more of the marker combinations provided in Tables 1-11 and 13-15.

In some embodiments, the method further comprises recommending a treatment given a result from analyzing the DCIS sample for SIAH2 and at least one of HER2, PR, FOXA1, or any combination thereof. In some embodiments, the treatment is less aggressive than would have otherwise been recommended, without the method predicting a low likelihood of invasive breast cancer. In some embodiments, the treatment is more aggressive than would have otherwise been recommended, without the method predicting a high likelihood of invasive breast cancer. In some embodiments, the treatment is less aggressive than would have otherwise been recommended, without the method predicting a low likelihood of a recurrence of DCIS. In some embodiments, the treatment is more aggressive than would have otherwise been recommended, without the method predicting a high likelihood of a recurrence of DCIS.

In some embodiments, the method further comprises determining a risk of DCIS, invasive breast cancer, or both. In some embodiments, the method further comprises providing a written report regarding a risk of DCIS, invasive breast cancer, or both (e.g., in line with Tables 1-11 and 13-15).

Treatment

In some embodiments, any of the above noted methods can include and/or be followed by an appropriate therapy for the subject, given the subject's reclassified risk of subsequent DCIS and/or invasive breast cancer. In some embodiments, such therapies can be appropriate to reduce a risk of DCIS recurrence, if that is the risk. In some embodiments, such therapies can be appropriate to reduce a risk of invasive breast cancer, if that is the risk.

In some embodiments, a therapy appropriate to reduce a risk of DCIS recurrence comprises at least one of surgical resection, radiation therapy, anti-hormone therapy. In some embodiments, a therapy can be appropriate if one knows that the subject has a low likelihood of an invasive event, but would not be appropriate if one knows that the subject has a high likelihood of an invasive breast cancer event.

In some embodiments, a therapy appropriate to reduce a risk of invasive breast cancer comprises at least one of mastectomy, targeted HERs therapy, receptor-targeted chemotherapy. In some embodiments, such a therapy can be appropriate if one knows that the subject has a high likelihood of an invasive event, but would not be appropriate if one knows that the subject has a low likelihood of an invasive breast cancer event.

In some embodiments, any of the above methods can be followed by “watchful waiting” or other relatively minimal/instrusive therapies. For example, when none of the high risk categories are met for invasive breast cancer, and if the subject has no DCIS risk (or is okay with having a DCIS risk), then the approach to treating the DCIS can be to take no immediate action, which can include more frequent breast imaging to provide an early identification of an ipsilateral breast event.

Additional aspects and approaches regarding possible therapeutic actions that are specific for the present DCIS subjects are provided below.

Kit

In some embodiments, a kit is provided. The kit can include a FOXA1 probe, and a SIAH2 probe. In some embodiments, the kit further comprises a COX-2 probe, a Ki67 probe, a p16 probe, a PR probe, and a HER2 probe. In some embodiments, the probe is an isolated antibody. In some embodiments, the probe is a nucleic acid that selectively hybridizes to FOXA1, SIAH2, COX-2, Ki67, p16, PR or HER2 as appropriate. In some embodiments, the kit contains enough of the probe and/or the probe is sensitive and/or selective enough such that the “+” and “−” states of one or more of the markers in Tables 1-11 and 13-15 can be adequately distinguished from one another.

In some embodiments, an antibody composition is provided that includes an isolated FOXA1 antibody, and an isolated SIAH2 antibody. In some embodiments, the antibody composition further comprises an isolated COX-2 antibody, an isolated Ki67 antibody, an isolated p16 antibody, an isolated PR antibody, and an isolated HER2 antibody.

In some embodiments, a solid support comprising probes or antibodies specific for at least SIAH2 and FOXA1 is provided. In some embodiments, the probes or antibodies consists essentially of probes or antibodies specific for the prediction of DCIS or invasive breast cancer in a subject who has DCIS.

In some embodiments, the subject and/or sample to be analyzed can be a patient (or from a patient). In some embodiments, the subject has, or had, DCIS. In some embodiments, the sample came from the DCIS of the subject in question. There are a variety of ways in which such a subject can be identified.

Sample

In some embodiments, the DCIS sample itself can be processed in any number of ways to prepare it for screening for the markers. In some embodiments, the DCIS sample has been surgically removed from a patient and preserved. In some embodiments, the DCIS sample is obtained by surgical removal. In some embodiments, the DCIS sample is cut into one or more blocks, such as 2, 3, 4, 5 or more blocks.

In some embodiments, a level of SIAH2 and HER2, PR, FOXA1, or any combination thereof is at least one of: a RNA level, a DNA level, a protein level. In some embodiments, a level of SIAH2, HER2, PR, FOXA1, or any combination thereof is at least one of: a RNA level, a DNA level, a protein level. In some embodiments, a level of SIAH2 and FOXA1 is at least one of: a RNA level, a DNA level, a protein level.

In some embodiments, a signature comprising a level of SIAH2 and HER2, PR, FOXA1, or any combination thereof is at least one of: a RNA level, a DNA level, a protein level. In some embodiments, a signature comprising a level of SIAH2, HER2, PR, FOXA1, or any combination thereof is at least one of: a RNA level, a DNA level, a protein level. In some embodiments, a signature comprising a level of SIAH2 and FOXA1 is at least one of: a RNA level, a DNA level, a protein level.

In some embodiments, a method of preparing a sample is provided. The method comprises obtaining a DCIS sample from a subject and preparing it so that its DNA, RNA, and/or protein can be analyzed for at least SIAH2 and/or FOXA1.

In some embodiments, the sample is preserved. In some embodiments, the sample is preserved via freezing. In some embodiments, the sample goes through (or does not go through) embedding in a chemical such as Optimal Cutting Temperature (OCT) compound, or fixation with a chemical(s), including, without limitation, formalin, formaldehyde, quaternary ammonium salts, alcohol, acetone, or other chemicals that preserve or extract DNA, RNA, and/or protein. In some embodiments, the technique used is one that allows SIAH2 and/or FOXA1 DNA, RNA, and/or protein to be preserved in an adequate amount and state so that SIAH2 and/or FOXA1 can be analyzed as provided herein.

In some embodiments, the DCIS sample is processed to allow for immunohistochemistry of at least SIAH2 and/or FOXA1. In some embodiments, at least three such samples (such as in the form of slices) can be prepared).

In some embodiments, analyzing the sample comprises determining an amount of a specified RNA in the sample. The amount of RNA for each marker can be determined by any number of techniques, some of which are discussed elsewhere in the present application. In some embodiments, the RNA level is determined by at least one of: an assay involving nucleic acid microarray, reverse transcriptase-polymerase chain reaction, in situ nucleic acid detection, or a next generation sequencing method. In some embodiments, expression of at least one of SIAH2 and FOXA1 is measured by real time quantitative polymerase chain reaction or microarray analysis.

In some embodiments, the RNA level is determined by: an assay involving nucleic acid microarray, reverse transcriptase-polymerase chain reaction, in situ nucleic acid detection, or a next generation sequencing method.

In some embodiments, analyzing the DCIS sample comprises determining an amount of a specified protein in the sample. The amount of protein for each marker can be determined by any number of techniques, some of which are discussed elsewhere in the present application. In some embodiments, the protein level is determined by immunohistochemistry, immunofluorescence, or mass spectrometry.

In some embodiments, patient specimens used for the detection of the biomarkers can be surgically removed breast tissues that are cut into small blocks and submerged in fixative. In some embodiments, following fixation, the blocks can be dehydrated and then embedded in paraffin wax. In some embodiments, the small blocks are no more than 20 mm in length and 5 mm in thickness to allow complete penetration of the fixative. In some embodiments, the fixation occurs in 10% neutral-buffered formalin for 24 to 48 hours at room temperature to preserve tissue structure and compartmentalization of the various markers. However, other fixatives and fixation times (e.g., 6 to 72 hours) can also be compatible with the marker assays. In some embodiments, assays are optimized to use specimens that have been flash frozen (e.g., in liquid nitrogen), rather than being fixed and embedded.

In some embodiments, the process of sample processing can include dehydration and embedding, which can be done manually or automated with a tissue processing instrument. In either case, the aqueous portion of the tissue and the fixation solution can be replaced by passing the block through a series of increasingly concentrated alcohol solutions. After reaching 100% alcohol, the alcohol is replaced using a chemical like xylene (or a xylene-free equivalent), followed by introduction of molten, low-melting-temperature (e.g., approximately 45° C.) paraffin wax for embedding. The FFPE blocks can be stored for many years prior to analysis. In some embodiments, “cores” of DCIS tissue can be cut from these blocks using a hollow needle and then inserted in an array format in a separate block of paraffin. Such “tissue microarrays” (TMAs) allow assessment of multiple tissues on a single section/microscope slide.

In some embodiments, ultrathin sections, approximately three to five micrometers in thickness, can be cut off the formalin-fixed paraffin-embedded (FFPE) tumor blocks using a microtome. The sections can be mounted onto glass microscope slides, ensuring that the tissue does not become folded or fragmented, which could interfere with the assays. The glass microscope slides can contain a positively charged surface in order bind to the negatively charged tissue sections, although other methods of tissue binding, including adhesives, can also be compatible.

In some embodiments, wax removal and rehydration of the tissue sections can then be carried out. These processes can be done manually or automated with certain staining instruments. Wax can be removed from the tissue sections on the slides through heating and/or immersion in a solution of xylene (or an equivalent xylene-free solution, such as Novocastra Bond Dewaxing Solution). Rehydration can be accomplished by passing the slides through a series of decreasingly concentrated alcohol solutions until a concentration of 0% is reached (pure water). Following wax removal and rehydration, the tissue sections can be stained with hematoxylin and eosin (H&E) and for a variety of molecular markers using immunohistochemistry (IHC) and/or in situ hybridization (ISH) assays and then assessed by pathologists or histotechnologists, as described below. The above processing steps can be performed for any of the methods provided herein in regard to the various markers (HER2, COX-2, Ki-67, PR, p16, SIAH2 and FOXA1).

DCIS Diagnosis and Assessment of Pathological Factors

Hematoxylin and Eosin Staining

In some embodiments, the subject and/or sample is confirmed as a DCIS sample or a subject having DCIS by any of a variety of ways known to one of skill in the art. This can occur before any of the other method steps provided herein (in some embodiments).

In some embodiments, hematoxylin and eosin (H&E) can be used to stain at least one tissue section from each patient (or set of arrayed patients) in order to confirm the DCIS diagnosis, assess certain pathological features (nuclear grade, architectural pattern[s], and the presence or absence of necrosis), and as a reference for the interpretation of the molecular marker assays. This histological stain allows the differentiation of nuclei and cytoplasm in individual cells, as well as various cell types and stromal tissue components, based on the color of the staining. The staining can be done manually or automated with a special staining instrument. In either case, the section can be submerged in hematoxylin solution for approximately four minutes to stain the nuclei blue, and then rinsed with tap water (alkaline). In some embodiments, next, the section can be exposed briefly (typically only a few seconds) to an acid alcohol solution to remove hematoxylin background staining, and then rinsed with tap water (alkaline). A “bluing” solution (e.g., lithium carbonate for 30 to 60 seconds) next may be applied to enhance the blue color of the hematoxylin in the nuclei, followed by rinsing with water. Eosin solution is then applied for approximately two minutes to stain other (eosinophilic) cellular components, followed by rinsing with water. The tissue is dehydrated with an alcohol series and cleared with xylene (or equivalent), and a cover slip is attached using mounting medium. Other options are also known to those of skill in the art. In some embodiments, any method for confirming the current presence of DCIS can be used on the sample. In some embodiments, no confirmation process is required. The above variables can be altered as appropriate by one of skill in the art.

DCIS itself can be identified in a sample or a subject in a variety of ways. Intraductal proliferative lesions include a group of cytologically and architecturally diverse epithelial proliferations originating in the terminal duct lobular unit (TDLU) and can be associated with an increased risk (of varying magnitude) for the subsequent development of invasive breast cancer. DCIS can be regarded as a possible true precursor lesion of invasive breast cancer. However, as demonstrated, not all DCIS events go on to form invasive breast cancer. There are various grades of DCIS (which, unless otherwise denoted, are all encompassed within the term “DCIS”.

“Low grade DCIS” is composed of small, monomorphic cells, growing in a variety of patterns, including arcades, micropapillae, cribriform or solid patterns. The nuclei are generally of uniform size and have a regular chromatin pattern with inconspicuous nucleoli with rare mitotic figures. Low-grade DCIS requires either involvement of two spaces or one or more duct cross sections exceeding 2 mm in diameter. Although desquamated cells within the ductal lumen may be present, frank necrosis/comedo-type histologic features are not typical for low grade DCIS.

Cytologic features of DCIS can include: monotonous, uniform rounded cell population; subtle increase in nuclear-cytoplasmic ratio; equidistant or highly organized nuclear distribution; round nuclei; and hyperchromasia may or may not be present. Architectural features can include arcades, cribriform, solid and/or micropapillary.

“Intermediate grade DCIS” is often composed of cells cytologically similar to those of low grade DCIS, forming solid, cribriform or micropapillary patterns, but with some ducts containing intraluminal necrosis. Others display nuclei of intermediate grade with occasional nucleoli and coarse chromatin; necrosis may or may not be present.

“High grade DCIS” is usually larger than 5 mm, but even a single<1 mm duct with the typical morphological features is sufficient for diagnosis. It is composed of highly atypical cells proliferating as one layer, forming micropapillae, cribriform or solid patterns. Nuclei are high grade, markedly pleomorphic, poorly polarized, with irregular contour and distribution, coarse, clumped chromatin and prominent nucleoli. Mitotic figures are usually common but their presence is not required. Comedonecrosis is frequently associated with high grade DCIS, but not necessary for diagnosis. Even a single layer of highly anaplastic cells lining the duct in a flat fashion is sufficient.

“Atypical Ductal Hyperplasia” is distinct from DCIS. The morphological features of atypical ductal hyperplasia are identical to those of low-grade DCIS, but ADH is limited in size. There are two quantitative criteria that distinguish ADH from low-grade DCIS: the presence of homogeneous involvement of not more than 2 membrane-bound spaces; or a size of <2 mm. The use of one or both criteria is considered appropriate by the authors of the WHO classification.

Histologic Confirmation of DCIS

In some embodiments, the subject is one who has at least one form of DCIS. In some embodiments, the presence of DCIS can be confirmed by any of a variety of techniques, including, for example, using slide-mounted tissue sections stained with hematoxylin and eosin (H&E) or an equivalent histology stain (noted above). In some embodiments, the assessment can be done consistent with WHO classification of tumors of the breast (Lakhani S R. WHO classification of tumours of the breast. Lyon: International Agency for Research on Cancer, 2012, and Tavassoli F A, Devilee P. Pathology and genetics of tumours of the breast and female genital organs. Lyon: IARC Press, 2003)—see definition of DCIS section. These references contain sample images and review characteristic features of DCIS and differential diagnosis with other breast disease entities, such as invasive breast cancer (including microinvasion defined as invasion ≤1 mm), lobular carcinoma in situ (LCIS), in situ Paget's, atypical ductal hyperplasia (ADH), sclerosing adenosis, etc., the entireties of which are incorporated herein by reference).

In some embodiments, when histological features are not sufficient for the diagnosis of DCIS, the diagnosis can be confirmed by a second pathologist. Additional tissue blocks can be employed for morphologic review.

Cases Suspected to Have Invasive (or Microinvasive) Carcinoma Based Upon Morphologic Features:

Normal breast ducts and lobules as well as intraductal epithelial proliferations are composed of two epithelial layers. Loss of the outer myoepithelial layer is the hallmark of infiltrating carcinoma of the breast. The outer myoepithelial layer is retained in all benign proliferative processes as well as ductal carcinoma in situ. Consequently identification of the presence or loss of myoepitheilium using antibodies to the myoepithelial-specific proteins can be helpful in distinguishing in situ from infiltrating carcinoma in circumstances where morphology may be equivocal (Kalof A N et al., Kalof A N, Tam D, Beatty B, Cooper K. Immunostaining patterns of myoepithelial cells in breast lesions: a comparison of CD10 and smooth muscle myosin heavy chain. J Clin Pathol 2004; 57, 625-629; Barbareschi M et al., Barbareschi M, Pecciarini L, Cangi M G et al. p63, a p53 homologue, is a selective nuclear marker of myoepithelial cells of the human breast. Am J Surg Pathol; 25, 1054-1060, 2001).

In some embodiments, if there is unequivocal morphologic evidence of invasion, including microinvasion, the patient can be considered to be ineligible for the prognostic DCIS testing (and will not be tested, or can be excluded from the assay). In some embodiments, if, upon morphologic examination of the tumor focus, there is a question of invasion of microinvasion, additional myoepithelial marker immunostudies (p63 and/or smooth muscle myosin heavy chain (SMMHC) immunostains) can be performed to examine the continuity of the myoepithelial cell layers and confirm and/or exclude the presence of (micro)invasive carcinoma. In some embodiments, other follow procedures can be performed for confirmation, where appropriate.

Cases Suspected to be of Lobular Origin Based Upon Morphologic Features:

It has been demonstrated that in histologic settings where ductal and lobular neoplasia might be confused, particularly in the setting of in situ carcinoma, where there can be significant differences in patient management, loss of expression of E-cadherin by immunohistochemistry can confirm the diagnosis of lobular carcinoma, even in the setting of non-classical morphologic findings (Acs G et al., Acs G, Lawton T J, Rebbeck T R, LiVolsi V A, Zhang P J. Differential expression of E-cadherin in lobular and ductal neoplasms of the breast and its biologic and diagnostic implications. Am J Clin Pathol 2001; 115, 85-98, 2001). In lobular neoplasia, mutations in the E-cadherin gene result in loss of expression of E-cadherin, a cell surface adhesion molecule present in normal breast epithelium and ductal carcinoma. The role of E-cadherin in homotypic cell-cell binding, loss of expression of this cell surface protein accounts for the characteristic non-cohesive growth pattern of lobular carcinoma.

In some embodiments, if, upon examination of an intraductal epithelial proliferation, it is unclear whether the intraductal tumor is ductal or lobular in nature, an E-cadherin immunostain can be performed to confirm ductal or lobular differentiation. In some embodiments, if lobular carcinoma in situ (LCIS) is confirmed histologically or by loss of e-cadherin by immunohistochemistry, the patient could be ineligible for further prognostic testing (e.g., will not be tested, or can be excluded from the assay). In some embodiments, if the subject currently has LCIS and not DCIS, the subject is not treated with the method. In some embodiments, if there is no evidence of DCIS or invasive carcinoma, additional tissue blocks can be requested for morphologic review.

In some embodiments, a sample or subject is excluded from the method if one or more of the following applies: a) no DCIS identified, b) invasive or microinvasive carcinoma identified, c) LCIS, not DCIS identified, c) quantitative criteria for low/intermediate DCIS not met: 1) the presence of homogeneous involvement of more than 2 membrane-bound spaces and/or a size of ≤2 mm. (No quantitative criteria required for high grade DCIS), or 2) tissue folded over in area of interest—not possible to score adequately.

Nuclear Grade Determination

In some embodiments, DCIS nuclear grade can be determined by using slide-mounted tissue sections stained with hematoxylin and eosin (H&E) or an equivalent histology stain. In some embodiments, the assessment can be consistent with the College of American Pathologists “Protocol for the Examination of Specimens from Patients with Ductal Carcinoma in Situ (DCIS) of the Breast” (Lester S C, Bose S, Chen Y Y et al. Arch Pathol Lab Med 2009; 133, 15-25), based on references therein. Nuclear grades of I (low), II (intermediate), and/or III (high) will be noted based on Table 12:

TABLE 12 Grade II Feature Grade I (Low) (Intermediate) Grade III (High) Fleomorphism Monotonous (monomorphic) Intermediate Markedly pleomorphic Size 1.5× to 2× the size of a normal Intermediate >2.5× the size of a normal RBC RBC or a normal duct epithelial or a normal duct epithelial cell cell nucleus nucleus Chromatin Usually diffuse, finely dispersed Intermediate Usually vesicular with irregular chromatin chromatin distribution Nucleoli Only occasional Intermediate Prominent, often multiple Mitoses Only occasional Intermediate May be frequent Orientation Polarized toward luminal spaces Intermediate Usually not polarized toward the luminal space * RBC indicates red blood cell.

Adapted from Lester S et al. Arch Pathol Lab Med 133: 15-25 2009.

It is not uncommon to find admixture of various grades of DCIS within the same biopsy. In some embodiments, when more than one grade of DCIS is present, the proportion (percentage in deciles) of each grade will be noted. In some embodiments subjects with extensive disease and high grade DCIS will not be considered to be low risk for a subsequent ipsilateral breast event. In some embodiments, any of the methods provided herein can start with first determining if the subject has DCIS and/or the DCIS nuclear grade. In some embodiments, the method does not include determining nuclear grade.

Necrosis Determination

In some embodiments, the presence and extent of necrosis in DCIS can be examined using slide-mounted tissue sections stained with hematoxylin and eosin (H&E) or an equivalent histology stain. The assessment can be done consistent with the College of American Pathologists “Protocol for the Examination of Specimens from Patients with Ductal Carcinoma in Situ (DCIS) of the Breast” (June 2012), based on references therein. In some embodiments, necrosis can be classified as follows: A) Not identified: No evidence of necrosis, B) Focal (punctuate): Small foci, indistinct at low magnification, or single cell necrosis, or C) Central (comedo/extensive): The central portion of an involved ductal space is replaced by an area of expansive necrosis that is easily detected at low magnification. Ghost cells and karyorrhectic debris are generally present. Although central necrosis is generally associated with high-grade nuclei (comedo DCIS), it can also occur with DCIS of low or intermediate nuclear grade. In some embodiments, any of the methods provided herein can include determining necrosis.

IHC Marker Staining/Scoring

When a formalin-based fixation method is used, it creates molecular cross-links in proteins, thereby masking epitopes from recognition by antibodies, and other fixation/preservation methods can also mask epitopes. In such embodiments, epitope retrieval can be a pre-treatment step that allows one to unmask the epitopes by reversing, at least in part, the changes introduced by fixation/preservation. Thus, in some embodiments, any of the methods and/or kits provided herein can include a step or ingredient for epitope retrieval.

Epitope retrieval can be done in different ways by varying the chemicals in the solution (e.g., buffers, proteolytic enzymes, chelators, etc.), the pH of the solution, the temperature of the solution (e.g., as applied by a water bath, pressure cooker, autoclave, or microwave oven), and/or the time in the solution, etc. In addition to the specific methods described in the examples below, many of these other methods could be used to achieve substantially equivalent results, depending on the tissue source, primary antibody, and other factors.

Multiple antibodies are commercially available and/or have been reported in the literature for each protein marker described herein (COX-2, Ki67, HER2, p16, PR, SIAH2, and FOXA1), and new antibodies can also be created. In some embodiments, the antibodies are raised against and/or recognize different epitopes on the protein markers (COX-2, Ki67, HER2, p16, PR, SIAH2, and FOXA1), and, in other cases, the antibodies are raised against and/or recognize the same (or similar) epitopes. The usefulness of an individual antibody in an assay depends upon its affinity and specificity for the epitope, as well as the accessibility of the epitope in the assay (e.g., after epitope retrieval in and IHC assay). Some antibodies recognize more than one protein marker and are, therefore, not typically suitable for a specific marker assay.

Other antibodies have low affinity or recognize an epitope that remains inaccessible in certain samples and are, therefore, not suitable for certain assay types. For example, an antibody that has a use for an immunoblot of fresh protein lysate may not have utility in an IHC assay on FFPE tissue due to the inability to unmask its epitope through epitope retrieval.

The concentrations of primary antibody concentrates commercially available from manufacturers vary based on the production method (e.g., tissue culture supernatant, ascites fluid, or whole antiserum), and whether any purification was done (e.g., affinity purification), but they are typically in the range of about 0.1 to 10 mg/ml. The optimal final primary antibody concentration for incubation on the sections depends on such factors as the binding characteristics of the specific antibody, the incubation time and temperature, and other factors unique to the individual laboratory, but it is typically in the range of 0.1 to 10 μg/ml, and dilutions ranging from about 1:10 to 1:1,000 are typically used. In some embodiments, staining results can be achieved with an antibody over a range of final primary antibody concentrations, as well as incubation times and temperatures.

In some embodiments, a Novocastra Bond Refine Polymer system can be used for detection of the primary antibody. This system includes a polymer backbone to which multiple secondary antibodies (against rabbit IgG) and enzymes are attached, as well as a rabbit anti-mouse IgG linker (when used with mouse primary antibodies). The enzymes catalyze a chemical reaction with DAB to form a brown precipitate that is visualized during marker scoring. In some embodiments one of several other detection methods can produce adequate results, including systems that utilize avidin-biotin complex (ABC), labeled streptavidin-biotin (LSAB), catalyzed signal amplification, and/or other technologies that are available in a variety of formats from a number of different manufacturers. In some embodiments, the ABC and other polymer-based technologies (e.g., Dako EnVision+) can be utilized with similar results (for detection).

In some embodiments, chromogen DAB can be used for final visualization of the marker through an enzymatic reaction of horseradish peroxidase (HRP) that produces a brown precipitate at the site of the antibody binding. In some embodiments, HRP can be used in combination with the chromogen 3-amino-9-ethylcarbazole (AEC) to produce red coloration with substantially equivalent results. Other options include the enzyme alkaline phosphatase in combination with the chromogens nitro blue tetrazolium chloride (NBT) and 5-bromo-4-chloro-3-indolyl phosphate (BCIP), and the enzyme glucose oxidase in conjunction with NBT—both of which produce a bluish-purple coloration. There are a variety of enzyme/chromogen combinations that can produce results.

The following section outlines various representative embodiments for staining and scoring seven markers (PR, HER2, COX-2, Ki-67, SIAH2, FOXA1, and p16). In some embodiments, other markers that serve the same function can be substituted for any one or more of these markers. In some embodiments ER can be substituted for PR. In some embodiments, any one or more of these markers can be used in the combinations suggested in the accompanying tables (Tables 1-11 and 13-15). In some embodiments, one or more of the noted markers can be employed (e.g., for staining and/or scoring) but a corresponding staining technique and/or corresponding score is used instead (as outlined herein).

PR Staining

In some embodiments, any technique for PR staining can be used, as long as it is adequate to observe the degree of PR fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, to assess progesterone receptor (PR; PGR; HGNC:8910) by IHC, a Leica BOND-MAX automated staining instrument can be used to conduct the following steps with rinsing between each step. Dewaxed and rehydrated tissue sections can be treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 1 (based on a 10 mM sodium citrate buffer plus 0.05% Tween 20, pH 6.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). The tissue sections are then incubated at room temperature with mouse monoclonal antibody PgR 636 (Dako M3569) diluted 1:50 in Novocastra Primary Antibody Diluent for 30 minutes (primary antibody step), followed by Novocastra Post Primary solution for 15 minutes (rabbit anti-mouse to introduce IgG linkers), followed by Novocastra Bond Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). Finally, a cover slip is attached using mounting medium. In other embodiments, other options can be employed.

In some embodiments, PR can be detected by a number of primary antibodies from a number of different manufacturers, and most produce adequate results. In some embodiments, mouse monoclonal 1A6 and rabbit monoclonal SP2 can be used from Novocastra and Lab Vision. Other options include mouse monoclonals PgR1294, 16, 1A6, 1E2, Ab-8, Ab-9, hPRa2, hPRa3, and PR88; rabbit monoclonals SP2, SP42, Y85, and EP2; and rabbit polyclonal A0097 (Dako), as well as many others, from manufacturers like Dako (Agilent), Novocastra (Leica), Ventana Medical Systems (Roche), Cell Marque (Sigma-Aldrich), Lab Vision (Thermo Scientific), BioGenex, Biocare, and Epitomics. In some embodiments, other options can be employed.

In some embodiments, high pH epitope retrieval (pH 9) can be been done in Tris-EDTA buffer with microwave heating. The titer of each lot of Dako PgR 636 antibody can be adjusted to a reference lot by the manufacturer to ensure consistent staining performance at the same dilution factor, and the 1:50 dilution used in the above example is suggested by the manufacturer. However, a range of dilutions can be used (e.g., 1:10 through 1:500) with similar performance. Alternative dilutions can be optimal with other antibody preparations, and for situations, some preparations are provided pre-diluted (ready to use). In some embodiments, other options can be employed.

PR Scoring

In some embodiments, any technique for PR scoring can be used, as long as it is adequate to observe the degree of PR fluctuation provided and described herein.

In some embodiments, PR status is determined from the IHC stained slide based upon the percentage of DCIS tumor cells with nuclear signal. In some embodiments, all areas of the tissue section containing DCIS can be evaluated to arrive at the percentage. In some embodiments, at least three DCIS-containing ducts or 1 mm of DCIS tissue can be employed to score the markers.

In some embodiments, the intensity of the nuclear signal can be reported as weak (1+), moderate (2+), or strong (3+). The intensity is the average intensity of the DCIS tumor cell nuclei with signal over the entire tissue section relative to the intensity of positive controls run with the same staining batch. In some embodiments, selection of the DCIS regions to be scored and/or the scoring are conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, a DCIS with less than 10% of tumor cells with nuclear signal can be considered negative, whereas DCIS with greater than 10% of tumor cells with nuclear signal can be considered positive, when assayed by the system or examples described herein. In some embodiments, the sample is only considered negative in the presence of appropriately stained extrinsic and internal controls. In some embodiments, any specimen lacking internal control elements (normal breast ductal epithelium) that is negative should be reported as uninterpretable (rather than as negative) and repeated using another tumor specimen from the same or an alternative tumor block.

In some embodiments, alternative thresholds can be applied (e.g., 0% vs. >0%, <1% vs. ≥1%, ≤1% vs. >1%, <5% vs. ≥5%, ≤5% vs. >5%, <10% vs. ≥10%, <15% vs. ≥15%, ≤15% vs. >15%, <20% vs. ≥20%, ≤20% vs. >20%, <25% vs. ≥25%, ≤25% vs. >25%, <30% vs. >30%, etc. and other thresholds), based upon the technique employed for staining and/or analysis. In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present technique can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. Alternative scoring methods, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness.

An example of PR scoring and staining is presented in FIG. 1 (PR IHC assays (top, negative; bottom, positive)). In some embodiments, PR scoring can be as follows: negative is less than 5 percent positive by percentage scoring for IHC; positive is greater than 10 percent positive by percentage scoring for IHC. In some embodiments, the difference in percent between positive and negative can be compressed, such that any sample is either positive or negative. In some embodiments, the difference between positive and negative can be dropped or ignored, if the sample falls within the range. In some embodiments, any of the values between positive and negative can be selected as the absolute distinguishing line between positive and negative (e.g., 5, 6, 7, 8, 9, or 10).

In some embodiments, FOXA1 scoring can be as follows: negative is less than a 100 immunoscore by (intensity times percentage) scoring for IHC; positive is greater than a 100 immonoscore by (intensity times percentage) scoring for IHC. In some embodiments, the difference in percent between positive and negative (100) can be compressed, such that any sample is either positive or negative. In some embodiments, the difference between positive and negative can be dropped or ignored, if the sample falls within the range. In some embodiments, any of the values between positive and negative can be selected as the absolute distinguishing line between positive and negative (e.g., 100 or lower is negative vs. 100 or higher is positive).

In some embodiments, SIAH2 scoring can be as follows: negative is less than 10 percent positive by percentage scoring for IHC; positive is greater than 20 percent positive by percentage scoring for IHC. In some embodiments, the difference in percent between positive and negative can be compressed, such that any sample is either positive or negative. In some embodiments, the difference between positive and negative can be dropped or ignored, if the sample falls within the range. In some embodiments, any of the values between positive and negative can be selected as the absolute distinguishing line between positive and negative (e.g., 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, or 20).

In some embodiments, HER2 scoring can be as follows: negative is less than a 3+ score by HercepTest scoring criteria for IHC; positive is 3+ score by HercepTest scoring criteria for IHC.

In some embodiments, Ki67 scoring can be as follows: negative is less than 10 percent positive by by percentage scoring for IHC; positive is greater than 15 percent scoring by percentage for IHC. In some embodiments, the difference in percent between positive and negative can be compressed, such that any sample is either positive or negative. In some embodiments, the difference between positive and negative can be dropped or ignored, if the sample falls within the range. In some embodiments, any of the values between positive and negative can be selected as the absolute distinguishing line between positive and negative (e.g., 10, 11, 12, 13, 14, or 15).

In some embodiments, p16 scoring can be as follows: negative is less than 20 percent positive by percentage scoring for IHC; positive is greater than 25 percent positive by percentage scoring for IHC. In some embodiments, the difference in percent between positive and negative can be compressed, such that any sample is either positive or negative. In some embodiments, the difference between positive and negative can be dropped or ignored, if the sample falls within the range. In some embodiments, any of the values between positive and negative can be selected as the absolute distinguishing line between positive and negative (e.g., 20, 21, 22, 23, 24, or 25).

In some embodiments, COX-2 scoring can be as follows: negative is less than 6 by Allred Scoring Criteria for COX-2 for IHC; positive is greater than 6 by Allred Scoring Criteria for COX-2 for IHC.

In some embodiments, the above ranges are for IHC assays. In some embodiments, the above ranges are for FISH assays.

In some embodiments, the positive threshold can be higher depending on marker combinations employed in concert as determined by one skilled in the art for incorporation into a specific test.

In some embodiments, SIAH2, FOXA1, and COX-2 can further be broken into sub categories of high (very high and high) and low (very low and low). This allows for finer lines to be drawn regarding risk combinations. In some embodiments, this is simplified for the analysis by having very high and high fall within the “high” grouping and very low and low fall within the “low” grouping.

HER2 Staining

HER2 IHC

In some embodiments, any technique for HER2 staining can be used, as long as it is adequate to observe the degree of HER2 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, to assess v-erb-b2 avian erythroblastic leukemia viral oncogene homolog 2 (ERBB2; HGNC:3430; HER2 [human epidermal growth factor receptor 2]; NEU) by IHC, the following steps can be conducted with rinsing between each step on a Dako Autostainer (through the chromogen visualization step). Dewaxed and rehydrated tissue sections can be treated with Dako Peroxidase Blocking Reagent (peroxidase blocking step), followed by Dako HercepTest Epitope Retrieval Solution (10 mM citrate buffer plus detergent, pH 6) for 40 minutes in a 95° C. to 99° C. water bath (epitope retrieval step). The tissue sections can then be incubated at room temperature with pre-diluted rabbit polyclonal anti-HER2 antibody (Dako K5207) for 30 minutes (primary antibody step), followed by Dako HercepTest Visualization Reagent for 30 minutes (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 10 minutes (chromogen visualization step), followed by hematoxylin (nuclear counterstain step). Finally, a cover slip is attached using mounting medium.

In some embodiments, HER2 can be detected by various antibodies to HER2. In some embodiments, mouse monoclonal TAB250 and rabbit monoclonal SP3 can be used from Invitrogen and Lab Vision. Other options include mouse monoclonals CB-11, TA9145, Ab-17, 3B5, and PN2A, and rabbit monoclonals SP3, 4B5, EP1045Y, and EP3, as well as many others, from manufacturers like Dako (Agilent), Novocastra (Leica), Ventana Medical Systems (Roche), Cell Marque (Sigma-Aldrich), Lab Vision (Thermo Scientific), BioGenex, Biocare, and Epitomics.

In some embodiments, heat-induced epitope retrieval can be performed by microwave oven or water bath. In the above example, the HER2 primary antibody is provided in a pre-diluted (ready to use) format, so no dilution is performed. However, other preparations of HER2 primary antibody are available in concentrated format requiring dilution. For example, a 200 μg/ml Ig concentrate may be diluted 1:400 to 1:800 to a final Ig concentration of 0.25 to 0.50 μg/ml, or an alternative concentrate may have an optimal dilution of 1:100 with similar results achieved in a dilution range of 1:50 to 1:500.

HER2—ISH

In some embodiments, an alternative method to assess HER2 can be ISH. A fluorescent ISH (FISH) assay using a Vysis PathVysion HER-2 DNA Probe Kit (Abbott Molecular) can include the following steps with rinsing between each step. The dewaxed tissue section can be treated with 0.2 N HCl for 20 minutes and then Vysis Pretreatment Solution (1 N sodium isothiocyanate) for 30-60 minutes at 80° C. (pretreatment step), followed by Vysis Protease Solution for 10-60 minutes at 37° C. (protease step), followed by 10% neutral buffered formalin (fixation step), followed by a series of increasing concentration alcohol solutions (dehydration step).

In some embodiments, a DNA probe mixture is applied to the tissue section under a sealed coverslip. The mixture contains a Locus Specific Identifier for HER-2 (a 190-Kb Spectrum Orange directly-labeled, fluorescent DNA probe specific for the HER-2 gene locus at 17q11.2-q12) and a Chromosome Enumeration Probe for chromosome 17 (CEP17; a 5.4 Kb Spectrum Green directly-labeled, fluorescent DNA probe specific for the alpha satellite DNA sequence at the centromeric region of chromosome 17 at 17p11.1-q11.1), as well as unlabeled blocking DNA to suppress sequences contained within the target loci that are common to other chromosomes. The slide is then placed into a Thermobrite instrument and subjected to a temperature of 73° C. for 5 minutes (DNA denaturation step) followed by an incubation for 14-24 hours at 37° C. (DNA hybridization step).

In some embodiments, the tissue is treated with two washes of 2× saline sodium citrate (SSC) plus 0.3% NP-40, the first for 2-5 minutes at room temperature, and the second for 2 minutes at 71-73° C. (post hybridization wash step). Finally, the nuclei are stained blue with a 4, 6 diamidino-2-phenylindole (DAPI) solution (counterstaining step).

In some embodiments, an alternative ISH method based on silver deposition (SISH; Ventana Medical Systems Inform HER2 kit) can be used according to manufacturer instructions with substantially equivalent results. In some embodiments, other HER2 ISH methods, for example chromogenic ISH (CISH), can also be employed.

HER2 Scoring—HER2 IHC Scoring

In some embodiments, any technique for HER2 scoring can be used, as long as it is adequate to observe the degree of HER2 fluctuation provided and described herein.

In some embodiments, HER2 status is determined from the IHC stained slide according to College of American Pathologists-American Society of Clinical Oncology (CAP-ASCO) guidelines (Wolff et al. J Clin Oncol 31: 3997, 2013) with modification for scoring on intraductal tumor cells. HER2 scores of 0-3+ are defined as follows: 0 is defined by no staining observed or membrane staining that is incomplete and is faint/barely perceptible and within ≤10% of the tumor cells. 1+ is defined by incomplete membrane staining that is faint/barely perceptible and within >10% of the tumor cells. 2+ is defined by circumferential membrane staining that is incomplete and/or weak/moderate (observed in a homogeneous and contiguous population) and within >10% of the tumor cells, or complete and circumferential membrane staining that is intense and within ≤10% of the tumor cells. 3+ is defined by circumferential membrane staining that is complete and intense (observed in a homogeneous and contiguous population and within >10% of the tumor cells, readily appreciated using a low power objective).

In some embodiments, selection of the DCIS regions to be scored and/or the scoring are conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide. In some embodiments, results of 0, 1+, or 2+ are considered negative, and 3+ is considered positive. In some embodiments, 2+ results could be considered equivocal, triggering a HER2 ISH assay to determine status through quantitation of HER2 gene amplification (amplified patients are positive). In some embodiments, HER2 IHC could be completely replaced by a HER2 ISH assay. Both of these alternative approaches have shown utility in related studies.

HER2 ISH Scoring

In some embodiments, HER2 status is determined from a FISH stained slide by counting the orange HER2 and green CEP17 signals in a minimum of 20 DCIS cell nuclei and then calculating the ratio. The DCIS is considered HER2 non-amplified (negative) when there is an equal number of orange and green signals or the ratio of Orange to green is less than 2.0 with an average HER2 copy number per cell of less than 4.0. The DCIS is considered HER2 amplified (positive) when the ratio of orange to green signals is greater than 2.0. Cells are also considered amplified (positive) when the ratio of orange to green signals is less than 2.0 with an average HER2 copy number per cell greater than or equal to 6.0. When the ratio of orange to green signals is less than 2.0 with an average HER2 copy number per cell of greater than or equal to 4.0 and less than 6.0, 20 additional cells are counted, and the ratio is re-calculated for all 40 cells, and the threshold of <2.0 (negative) vs. ≥2.0 (positive) is applied.

An example of HER2 scoring and staining is presented in FIG. 2 (HER2 IHC assays (top, negative; bottom, positive)).

Ki-67 Staining

In some embodiments, any technique for Ki-67 staining can be used, as long as it is adequate to observe the degree of Ki-67 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, Ki-67 (MKI67; MIB-1; HGNC:7107) levels can be assessed by IHC, a Leica BOND-MAX automated staining instrument is used to conduct the following steps with rinsing between each step. In some embodiments, dewaxed and rehydrated tissue sections are treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 2 (based on a 10 mM Tris Base and 1 mM ethylenediaminetetraacetic acid [EDTA] buffer plus 0.05% Tween 20, pH 9.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). In some embodiments, the tissue sections are then incubated at room temperature with mouse monoclonal antibody MIB-1 (Dako M7240) diluted 1:50 in Novocastra Primary Antibody Diluent for 30 minutes (primary antibody step), followed by Novocastra Post Primary solution for 15 minutes (rabbit anti-mouse IgG to introduce IgG linkers), followed by Novocastra Bond Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). Finally, a cover slip is attached using mounting medium.

In some embodiments, Ki-67 can be detected by any Ki-67 specific antibody. In some embodiments, the antibody can be mouse monoclonals MM1, K-2; 7B11, BGX-297, Ki88, Ki-S5, and DVB-2; rabbit monoclonals SP6, 30-9, EPR3611; and rabbit polyclonal NCL-Ki67p, as well as many others, from manufacturers like Dako (Agilent), Novocastra (Leica), Ventana Medical Systems (Roche), Cell Marque (Sigma-Aldrich), Lab Vision (Thermo Scientific), BioGenex, and Biocare.

In some embodiments, a dilution of 1:50 is used for Dako MIB-1 antibody, although other dilutions, e.g., 1:75 to 1:150, can be used, including dilutions in the range of 1:40 to 1:600. Similarly, other antibody manufacturers report recommended dilutions in the range of 1:100 to 1:200 for their antibody preparations, and some preparations are provided pre-diluted (ready to use).

Ki-67 Scoring

In some embodiments, any technique for Ki-67 scoring can be used, as long as it is adequate to observe the degree of Ki-67 fluctuation provided and described herein.

In some embodiments, Ki-67 status is determined from the IHC stained slide based upon the percentage of DCIS tumor cells with nuclear signal. In some embodiments, all areas of the tissue section containing DCIS are evaluated to arrive at the percentage. In some embodiments, at least three DCIS-containing ducts or 1 mm of DCIS tissue are used to score the markers. In some embodiments, the intensity of the signal is also reported as weak (1+), moderate (2+), or strong (3+). In some embodiments, the intensity is the average intensity of the DCIS tumor cell nuclei with signal over the entire tissue section. In some embodiments, selection of the DCIS regions to be scored and/or the scoring are conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, DCIS with less than 10% of tumor cells with nuclear signal is considered negative, whereas DCIS with greater than 10% of tumor cells with nuclear signal is considered positive. The sample is only considered negative in the presence of an appropriately stained positive control.

In some embodiments, alternative thresholds (e.g., 0% vs. >0%, <1% vs. ≥1%, ≤1% vs. >1%, <5% vs. ≥5%, ≤5% vs. >5%, <10% vs. ≥10%, <15% vs. ≥15%, ×15% vs. >15%, <20% vs. ≥20%, ≤20% vs. >20%, <25% vs. ≥25%, ≤25% vs. >25%, <30% vs. ≥30%, etc. can be employed based upon the technique employed for staining and/or analysis. In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present technique can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. Alternative scoring methods, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness.

An example of Ki-67 scoring and staining is presented in FIG. 4 Ki-67 IHC assays (top, negative; bottom, positive).

p16/INK4A Staining

In some embodiments, any technique for p16 staining can be used, as long as it is adequate to observe the degree of p16 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, to assess the p16 isoform of cyclin-dependent kinase inhibitor 2A (p16/INK4A; CDKN2A; MTS1; HGNC:1787) by IHC, a Leica BOND-MAX automated staining instrument can be used to conduct the following steps with rinsing between each step. In some embodiments, it can be dewaxed and rehydrated tissue sections are treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 2 (based on a 10 mM Tris Base and 1 mM EDTA buffer plus 0.05% Tween 20, pH 9.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). The tissue sections can then be incubated at room temperature with pre-diluted mouse monoclonal antibody E6H4 (Ventana Medical Systems ClNtec p16 Histology Kit) for 30 minutes (primary antibody step), followed by Novocastra Post Primary solution for 15 minutes (rabbit anti-mouse IgG to introduce IgG linkers), followed by Novocastra Bond Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). In some embodiments, a cover slip is attached using mounting medium.

In some embodiments, p16/INK4A can be detected by a primary antibody. In some embodiments, mouse monoclonal DCS-50.1/A7 (Neomarkers) can be used. In some embodiments, mouse monoclonals 6H12, JCB, 16PO4; 16PO7, and G175-405 and rabbit monoclonal EPR1473, as well as others can be used. In some embodiments, the p16/INK4A primary antibody is provided in a pre-diluted (ready to use) format, so no dilution is performed. However, other preparations of p16/INK4A primary antibody are available in concentrated format, and dilutions are recommended by the manufacturers in a range of 1:75 to 1:500 or even 1:25 to 1:800, depending on the specific protocol.

p16/INK4A Scoring

In some embodiments, any technique for p16 scoring can be used, as long as it is adequate to observe the degree of p16 fluctuation provided and described herein.

In some embodiments, p16/INK4A status is determined from the MC stained slide based upon the percentage of DCIS tumor cells with nuclear signal, qualified by the intensity of the signal. In some embodiments, the intensity of the signal is reported as weak (1+), moderate (2+), or strong (3+). In some embodiments, the intensity is the average intensity of the DCIS tumor cell nuclei with signal over the entire tissue section relative to the intensity of positive controls run with the same staining batch. In some embodiments, cells with nuclear signal of at least intermediate (2+) intensity are considered positive. In some embodiments, cells with absent or weak (1+) staining are considered negative. In some embodiments, all areas of the tissue section containing DCIS are evaluated to arrive at the percentage. In some embodiments, at least three DCIS-containing ducts or 1 mm of DCIS tissue can be used to score the markers. In some embodiments, selection of the DCIS regions to be scored and/or the scoring are conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, DCIS with less than or equal to 25% of tumor cells with nuclear signal of at least moderate intensity is considered negative, whereas DCIS with greater than 25% of tumor cells with nuclear signal of at least moderate intensity is considered positive. The sample is only considered negative in the presence of an appropriately stained positive control. Alternative thresholds (e.g., <20% vs. ≥20%, ≤20% vs. >20%, <25% vs. ≥25%, <30% vs. ≥30%, ≤30% vs. >30%, <40% vs. ≥40%, etc. and other thresholds) can be employed based upon the technique employed for staining and/or analysis. In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present techniques can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. Alternative scoring methods, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness.

The staining pattern of p16/INK4A can be nuclear and cytoplasmic and is often heterogeneous in nature. In addition, p16/INK4A staining can be present in both the DCIS tumor cells and the surrounding stromal cells.

An example of p16 scoring and staining is presented in FIG. 3 (p16/INK4A IHC assays (top, negative; bottom, positive)).

COX-2 Staining

In some embodiments, any technique for COX-2 staining can be used, as long as it is adequate to observe the degree of COX-2 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, prostaglandin-endoperoxide synthase 2 (PTGS2; cyclooxygenase-2 [COX-2]; HGNC:9605) can be assessed by IHC; a Leica BOND-MAX automated staining instrument is used to conduct the following steps with rinsing between each step. In some embodiments, dewaxed and rehydrated tissue sections are treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 1 (based on a 10 mM sodium citrate buffer plus 0.05% Tween 20, pH 6.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). In some embodiments, the tissue sections are then incubated at room temperature with rabbit monoclonal antibody SP21 (Cell Marque 240R-16) diluted 1:50 in Novocastra Primary Antibody Diluent for 30 minutes (primary antibody step), followed by Novocastra Bond Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). Finally, a cover slip is attached using mounting medium.

In some embodiments, COX-2 can be detected by primary antibodies. In some embodiments, mouse monoclonal CX-294 (Dako) can be used. In some embodiments, mouse monoclonal 4H12 (Novocastra) and rabbit monoclonal SP21 from manufacturers like Ventana Medical Systems (Roche), Cell Marque (Sigma-Aldrich), Lab Vision (Thermo Scientific), and Biocare can be used.

In some embodiments, a dilution of 1:50 can be used for Cell Marque SP21 antibody. In some embodiments, a dilution of 1:100 to 1:500, or in the range of 1:50 to 1:500, 1:50 to 1:200 can be used. In addition, some preparations are provided in pre-diluted (ready to use) form.

COX-2 Scoring

In some embodiments, any technique for COX-2 scoring can be used, as long as it is adequate to observe the degree of COX-2 fluctuation provided and described herein.

In some embodiments, COX-2 status can be determined from the MC stained slide based upon the percentage of DCIS tumor cells with cytoplasmic signal and the intensity of the signal, in the form of an Allred score. In some embodiments, the intensity is reported as absent (0), weak (1), intermediate (2), or strong (3) and represents the average signal intensity over the entire tissue section relative to the intensity of positive controls run with the same staining batch. In some embodiments, the percentage is converted to a proportion score as follows: 0, 0% positive; 1, <1% positive; 2, >1-10% positive; 3, 11-33% positive; 4, 34-66% positive; 5, 67-100% positive. The Allred score is the sum of the intensity and proportion scores on a scale of 0-8.

In some embodiments, all areas of the tissue section containing DCIS are evaluated. In some embodiments, at least three DCIS-containing ducts or 1 mm of DCIS tissue is employed to score the markers. Selection of the DCIS regions to be scored and/or the scoring can be conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, a DCIS with an Allred score 0 to 6 is considered negative, whereas DCIS with an Allred score of 7 or 8 is considered positive. In some embodiments, the sample is considered negative in the presence of an appropriately stained positive control. In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present techniques can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. In some embodiments, an alternative scoring method, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness.

An example of COX-2 scoring and staining is presented in FIG. 5 (COX-2 IHC assays (top, negative; bottom, positive)).

FOXA1 Staining

In some embodiments, any technique for FOXA1 staining can be used, as long as it is adequate to observe the degree of FOXA1 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above that above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, to assess forkhead box A1 (FOXA1; HGNC:5021) by IHC, a Leica BOND-MAX automated staining instrument can be used to conduct the following processes with rinsing between each step. In some embodiments, dewaxed and rehydrated tissue sections can be treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 2 (based on a 10 mM Tris Base and 1 mM ethylenediaminetetraacetic acid [EDTA] buffer plus 0.05% Tween 20, pH 9.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). The tissue sections can then be incubated at room temperature with mouse monoclonal antibody 2F83 (Cell Marque 405M-16) diluted 1:25 in Novocastra Primary Antibody Diluent for 30 minutes (primary antibody step), followed by Novocastra Post Primary solution for 15 minutes (rabbit anti-mouse IgG to introduce IgG linkers), followed by Novocastra Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). A cover slip can be attached using mounting medium.

In some embodiments, FOXA1 mouse monoclonal antibody 2F83 from Abcam can be used at a dilution of 1:450 (or, for example, 1:2,000) with effective results or used at a dilution of 1:25 (manufacturer recommended starting dilution range of 1:25 to 1:100, based on an initial estimated Ig concentration of 2.5 to 25.0 μg/ml with a final estimated optimal Ig concentration range of 0.1 to 1.0 μg/ml). In some embodiments, mouse monoclonal antibodies can include 2F83, 3A8, 1B1, 2D7, 3C1, and 4F6, and rabbit monoclonals SP88 and EPR10881 from Thermo Scientific, Spring Bioscience, Epitomics, Millipore, and a variety of other manufacturers. Various dilutions can be used with other antibody preparations (e.g., Millipore recommends a 1:500 dilution of their 1 mg/ml version of 2F83, and Thermo Scientfic recommends a 1:20 to 1:200 dilution of their 1 mg/ml preparation of clone 3A8). And some FOXA1 antibody preparations are provided pre-diluted (ready to use).

FOXA1 Scoring

In some embodiments, any technique for FOXA1 scoring can be used, as long as it is adequate to observe the degree of FOXA1 fluctuation provided and described herein.

In some embodiments, FOXA1 status can be determined from the IHC stained slide based upon the percentage of DCIS tumor cells with nuclear signal and the intensity of the signal, in the form of an immunoscore. The intensity can be reported as absent (0), weak (1), intermediate (2), or strong (3) and can represent the average signal intensity over the entire tissue section relative to the intensity of positive controls run with the same staining batch. In some embodiments, the immunoscore can be the product of the intensity and percentage scores on a scale of 0-300.

In some embodiments, all areas of the tissue section containing DCIS are evaluated. In some embodiments, three DCIS-containing ducts or 1 mm of DCIS tissue is used to score the markers. Selection of the DCIS regions to be scored and/or the scoring can be conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, DCIS with an immunoscore less than 100 is considered FOXA1 low, DCIS with an immunoscore between 100 and 250 is considered FOXA1 intermediate, and DCIS with an immunoscore greater than 250 is considered FOXA1 high. Alternative lower (e.g., 40 or 150) and/or upper (e.g., 150 or 250) thresholds, as well as alternative scoring methods, also show utility. In addition, the utility can vary based on the outcome being predicted (i.e., a DCIS or invasive event in the ipsilateral breast). In some embodiments, FOXA1 is merely treated as either being “negative” (100 or lower) or positive (greater than 100).

An example of FOXA1 staining and scoring is presented in FIG. 7 . FIG. 7 depicts a FOXA1 IHC assays (top, negative; bottom, positive).

In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present techniques can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. In some embodiments, an alternative scoring method, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness.

SIAH2 Staining

In some embodiments, any technique for SIAH2 staining can be used, as long as it is adequate to observe the degree of SIAH2 fluctuation provided and described herein. In some embodiments, protein levels can be checked. In some embodiments, mRNA levels can be checked. In some embodiments, DNA levels can be checked. In some embodiments, both protein and mRNA levels can be checked. An elevated level can be a level above a control or standardized level, for example, a level in a non-DCIS sample. Similarly, a lowered level can be a level below a control or standardized level, for example, a level in a non-DCIS sample. In some embodiments, a “positive” or “elevated” result is one that is above a “negative” or “lowered” result (in the context of scoring).

In some embodiments, to assess SIAH2 E3 ubiquitin protein ligase 2 (SIAH2; seven in absentia [Drosophila] homolog 2; HGNC:10858) by IHC, a Leica BOND-MAX automated staining instrument can be used to conduct the following steps with rinsing between each step. In some embodiments, dewaxed and rehydrated tissue sections are treated with Novocastra Peroxide Block (3-4% hydrogen peroxide) (peroxidase blocking step), followed by Novocastra Bond Epitope Retrieval Solution 1 (based on a 10 mM sodium citrate buffer plus 0.05% Tween 20, pH 6.0 solution) for 30 minutes at 95° C. to 100° C. (epitope retrieval step). In some embodiments, the tissue sections are then incubated at room temperature with mouse monoclonal antibody 24E6H3 (Santa Cruz Biotechnology sc-81787) diluted 1:200 in Novocastra Primary Antibody Diluent for 30 minutes (primary antibody step), followed by Novocastra Post Primary solution for 15 minutes (rabbit anti-mouse to introduce IgG linkers), followed by Novocastra Bond Refine Polymer for 15 minutes (anti-rabbit poly-HRP-IgG) (secondary detection step), followed by 3,3′-Diaminobenzidine (DAB) for 5 minutes (chromogen visualization step), followed by <0.1% hematoxylin for 7 minutes (nuclear counterstain step). In some embodiments, a cover slip is attached using mounting medium.

In some embodiments, epitope retrieval can be done at a higher pH (8.0) in EDTA-containing buffer in either a 98° C. water bath or steam chamber with both mouse monoclonal antibody 24E6H3 and its parental clone 24E6 in related studies. In some embodiments, alternative antibodies can be used, including those from Novus Biologicals. Different dilutions can be used with different preparations of these antibody, including dilutions within the range of 1:40 to 1:200. In some embodiments, other primary antibodies can be used, such as mouse monoclonal 35F7I4 (Creative Diagnostics), which works for IHC (recommended dilution of 1:40 to 1:50), and mouse monoclonals 1F5, 2G6, and SIAH2−369 (available from Abnova, Epigentek, US Biologicals, Sigma-Aldrich, and Creative Diagnostics).

SIAH2 Scoring

In some embodiments, any technique for SIAH2 scoring can be used, as long as it is adequate to observe the degree of SIAH2 fluctuation provided and described herein.

In some embodiments, SIAH2 status is determined from the IHC stained slide based upon the percentage of DCIS tumor cells with nuclear signal. In some embodiments, all areas of the tissue section containing DCIS are evaluated to arrive at the percentage. In some embodiments, at least three DCIS-containing ducts or 1 mm of DCIS tissue is used to score the markers. In some embodiments, the intensity of the signal can be reported as weak (1+), moderate (2+), or strong (3+). In some embodiments, the intensity is the average intensity of the DCIS tumor cell nuclei with signal over the entire tissue section. In some embodiments, selection of the DCIS regions to be scored and/or the scoring are conducted manually by a pathologist and/or automatically using a computer on scanned images of the slide.

In some embodiments, DCIS with less than 20% of tumor cells with nuclear signal is considered negative, whereas DCIS with greater than or equal to 20% of tumor cells with nuclear signal is considered positive.

In some embodiments, the sample is only considered negative in the presence of an appropriately stained positive control.

In some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the noted techniques can be correlated to the other technique (for the “corresponding value”) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being equivalent to one another. In some embodiments, an alternative scoring method, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness. In some embodiments, alternative thresholds (e.g., ≤20% vs. >20%, <25% vs. ≥25%, ≤25% vs. >25%, <30% vs. ≥30%, ≤30% vs. >30%, <40% vs. ≥40%, ≤40% vs. >40%, etc. and other thresholds) can be used. In some embodiments, alternative scoring methods, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements can also be used.

An example of SIAH2 staining and scoring is presented in FIG. 6 . FIG. 6 depicts SIAH2 IHC assays (top, negative, on a UUH TMA; bottom, positive, on a Biomax BR8011 TMA).

Statistical Analysis

Kaplan-Meier survival analyses can be used to estimate the proportions of patients who experienced first events (DCIS or invasive recurrence) after initial DCIS diagnosis/surgery. Hazard ratios (HR) can be determined using Cox proportional hazards analysis. At the time of first events (DCIS or invasive), patients can be censored for the other event type. Patients can also be censored if an event is detected within 6 months of surgery or on the first post-surgery mammogram, because this can be considered as persistent, rather than recurrent, disease. In some embodiments, subjects with persistent disease are excluded from the various methods provided herein.

Methods of Assessing Markers

While the above noted assaying system and scoring systems have been put forth, in some embodiments, alternative techniques and/or scoring methods can be used for detection, which can result in a corresponding, but different cutoff range for high and/or low risk. For such situations, the ranges provided herein for the present techniques can be correlated to the other technique (for the “corresponding value” of one or more of COX-2, Ki67, p16, SIAH2, FOXA1, PR, and/or HER2) by analyzing the same sample (or two samples from a same DCIS sample) by the two different techniques and identifying them as being matched or equal to one another. In some embodiments, an alternative scoring method, such as the Allred scoring system, immunoscores, and others that combine the percentage and intensity scoring elements also show effectiveness. In some embodiments, there can be a corresponding technique and/or score for one or more of COX-2, Ki67, p16, SIAH2, FOXA1, PR, and/or HER2. In some embodiments, there can be a corresponding technique for one or more of COX-2, Ki67, p16, SIAH2, FOXA1, PR, and/or HER2. In some embodiments, there can be a corresponding score for one or more of COX-2, Ki67, p16, SIAH2, FOXA1, PR, and/or HER2. As will be appreciated by one of skill in the art, these corresponding scores and/or techniques can be used for any of the embodiments provided herein, and are expressly contemplated as alternatives for each and all disclosure regarding the noted markers.

In some embodiments, protein detection assays can be used, including for example, immunohistochemistry, immunofluorescence, mass spectrometry, or others, discussed in more detail below. In some embodiments, mRNA detection assays can be used, including, for example, nucleic acid hybridization-based methods such as Northern blots, gene expression arrays, quantitative real-time polymerase chain reaction (qPCR), nCounter, in situ nucleic acid detection, etc., as well as next-generation RNA sequencing (RNA-Seq)), and others. In some embodiments, techniques to detect changes at the DNA level can be used, including, for example, polymerase chain reaction (PCR), in situ hybridization (ISH), next generation sequencing (NGS), and others as will be readily understood by those of skill in the art.

In some embodiments, while corresponding values (involving alternative scoring or alternative assays to analyze the sample) are used, the relative result (for example, high vs. low or very high vs. medium vs. low) will be maintained between the various techniques for analysis or scoring systems. Thus, scoring “high” in one system will be correlated to scoring “high” in another system, without significant complications or difficulties. Thus, various results can be ported from one system to another, as desired, as long as the levels in terms of relatively high vs low (for example) are maintained. Similarly, in some embodiments, protein levels can be used for one marker, while a second marker can be analyzed via DNA, and, for example, a third marker can be analyzed via mRNA. Thus, the nature of the molecule being tested can be altered within a test, if desired.

In some embodiments, the level of expression is determined by detecting the level of mRNA transcribed from a gene.

In some embodiments, the mRNA in the sample is first transcribed into cDNA using reverse transcriptase.

In some embodiments, the sample is subjected to an amplification reaction (e.g., using methods based on polymerase chain reaction (PCR), nucleic acid sequence-based amplification (NASBA), transcription-mediated amplification (TMA), strand displacement amplification (SDA), etc.), probe amplification (e.g., using methods based on ligase chain reaction (LCR), cleavase invader, etc.), signal amplification (e.g, using methods based on branched DNA probes [bDNA], hybrid capture, etc.), and others as will be readily understood by those of skill in the art.

In some embodiments, the mRNA is detected in the sample by hybridizing a nucleic acid probe or primer capable of selectively hybridizing to a mRNA transcript of interest, or cDNA derived therefrom, and then detecting the hybridization with a detection device or system.

In this context, the term “selective hybridization” means that hybridization of a probe or primer occurs at a higher frequency or rate, or has a higher maximum reaction velocity, than hybridization of the same probe or primer to any other nucleic acid. Preferably, the probe or primer does not hybridize to another nucleic acid at a detectable level under the reaction conditions used.

As transcripts of a gene described herein are detected using mRNA or cDNA derived therefrom, assays that detect changes in mRNA can be employed (for example, Northern hybridization, RT-PCR, NASBA, TMA or ligase chain reaction).

In some embodiments, mRNA quantitation can be carried out on gene expression array platforms, including Agilent's Bioanalyzer® system; Affymetrix' GeneChip®, GeneTitan®, or GeneAtlas® systems; and others as will be readily understood by those of skill in the art.

In some embodiments, mRNA quantitation can be carried out by real-time qPCR. Such reactions can be performed with a variety of reporters, including non-specific DNA-binding fluorochromes (e.g., SYBR® Green) or fluorescent reporter probes that selectively hybridize to the sequence of interest (e.g., TaqMan® probes). In some cases, the reaction is carried out in parallel on multiple partitions of the same sample (digital PCR). Real-time qPCR platforms include ThermoFisher Scientific/Applied Biosystems' FAST, QuantStudio, and related systems; Hologic/Gen-Probe's DTS systems; Roche/Idaho Technology's LightCycler® systems; Qiagen's Rotor-Gene® systems; Bio-Rad's CFX and related systems; and others as will be readily understood by those of skill in the art.

In some embodiments, mRNA quantitation can be carried out without a reverse-transcription or amplification step, such as NanoString's in vitro nCounter® platform, or various in situ hybridization (ISH) approaches, including paired probe ISH (e.g., RNAscope® and Quanti-Gene RNAview), single-tag multi-probe ISH (e.g., Stellaris®), or locked nucleic-acid (LNA) probes.

In some embodiments, mRNA quantitation can be carried out with RNA-Seq next-generation sequencing technologies, including sequencing by synthesis (e.g, Illumina's HiSeq® and NextSeq® systems), single-molecule real-time sequencing (e.g., Pacific Biosciences' RS systems), ion seminconductor sequencing (e.g., ThermoFisher Scientific's Ion Torrent™ systems), sequencing by ligation (e.g., ThermoFisher Scientific's SOLiD™ systems), pyrosequencing (e.g., Roche/454 Life Sciences), and others as will be readily understood by those of skill in the art.

Methods of RT-PCR include, for example, in Dieffenbach (ed) and Dveksler (ed) (In: PCR Primer: A Laboratory Manual, Cold Spring Harbour Laboratories, NY, 1995). Essentially, this method comprises performing a PCR reaction using cDNA produced by reverse transcribing mRNA from a cell using a reverse transcriptase. Methods of PCR described supra are to be taken to apply mutatis mutandis to this embodiment of the invention.

Similarly PCR can be performed using cDNA. One or more of the probes or primers used in the reaction specifically hybridize to the transcript of interest.

Methods of TMA or self-sustained sequence replication (3SR) use two or more oligonucleotides that flank a target sequence, a RNA polymerase, RNase H and a reverse transcriptase. One oligonucleotide (that also comprises a RNA polymerase binding site) hybridizes to an RNA molecule that comprises the target sequence and the reverse transcriptase produces cDNA copy of this region. RNase H is used to digest the RNA in the RNA-DNA complex, and the second oligonucleotide used to produce a copy of the cDNA. The RNA polymerase is then used to produce a RNA copy of the cDNA, and the process repeated.

NASBA systems relies on the simultaneous activity of three enzymes (a reverse transcriptase, RNase H and RNA polymerase) to selectively amplify target mRNA sequences. The mRNA template is transcribed to cDNA by reverse transcription using an oligonucleotide that hybridizes to the target sequence and comprises a RNA polymerase binding site at its 5′ end. The template RNA is digested with RNase H and double stranded DNA is synthesized. The RNA polymerase then produces multiple RNA copies of the cDNA and the process is repeated.

In some embodiments, a microarray can be used to determine the level of expression of one or more nucleic acids described herein. Such a method allows for the detection of a number of different nucleic acids, thereby providing a multi-analyte test and improving the sensitivity and/or accuracy of the diagnostic assay of the invention.

In some embodiments, the level of expression is determined by detecting the level of a protein encoded by a nucleic acid within a gene described herein.

In this respect, the embodiments are not necessarily limited to the detection of a protein comprising the specific amino acid sequence recited herein. Rather, the present invention encompasses the detection of variant sequences (e.g., having at least about 80% or 90% or 95% or 98% amino acid sequence identity) or the detection of an immunogenic fragment or epitope of said protein.

The amount, level and/or presence of a polypeptide can be determined using any of a variety of techniques known to the skilled artisan such as, for example, a technique selected from the group of, immunohistochemistry, immunofluorescence, an immunoblot, a Western blot, a dot blot, an enzyme linked immunosorbent assay (ELISA), radioimmunoassay (RIA), enzyme immunoassay, fluorescence resonance energy transfer (FRET), matrix-assisted laser desorption/ionization time of flight (MALDI-TOF), electrospray ionization (ESI), mass spectrometry (including tandem mass spectrometry, e.g. LC MS/MS), biosensor technology, evanescent fiber-optics technology or protein chip technology.

In some embodiments, the assay used to determine the amount or level of a protein is a semi-quantitative assay. In some embodiments, the assay used to determine the amount or level of a protein in a quantitative assay. As will be apparent from the preceding description, such an assay may involve the use of a suitable control, e.g. from a normal individual or matched normal control.

In some embodiments, standard solid-phase ELISA or FLISA formats can be useful in determining the concentration of a protein from a variety of samples.

In one form such an assay involves immobilizing a biological sample onto a solid matrix, such as, for example a polystyrene or polycarbonate microwell or dipstick, a membrane, or a glass support (e.g. a glass slide). An antibody that specifically binds to a protein described herein is brought into direct contact with the immobilized biological sample, and forms a direct bond with any of its target protein present in said sample. This antibody is generally labeled with a detectable reporter molecule, such as for example, a fluorescent label (e.g. FITC or Texas Red) or a fluorescent semiconductor nanocrystal (as described in U.S. Pat. No. 6,306,610) in the case of a FLISA or an enzyme (e.g. horseradish peroxidase (HRP), alkaline phosphatase (AP) or beta-galactosidase) in the case of an ELISA, or alternatively a second labeled antibody can be used that binds to the first antibody. Following washing to remove any unbound antibody the label is detected either directly, in the case of a fluorescent label, or through the addition of a substrate, such as for example hydrogen peroxide, TMB, or toluidine, or 5-bromo-4-chloro-3-indol-beta-D-galaotopyranoside (x-gal) in the case of an enzymatic label.

In some embodiments, an ELISA or FLISA comprises immobilizing an antibody or ligand that specifically binds a protein described supra on a solid matrix, such as, for example, a membrane, a polystyrene or polycarbonate microwell, a polystyrene or polycarbonate dipstick or a glass support. A sample is then brought into physical relation with said antibody, and the polypeptide is bound or ‘captured’. The bound protein is then detected using a labeled antibody. For example, a labeled antibody that binds to an epitope that is distinct from the first (capture) antibody is used to detect the captured protein. Alternatively, a third labeled antibody can be used that binds the second (detecting) antibody.

In some embodiments, the presence or level of a protein is detected in a body fluid using, for example, a biosensor instrument (e.g., BIAcore™, Pharmacia Biosensor, Piscataway, N.J.). In such an assay, an antibody or ligand that specifically binds a protein is immobilized onto the surface of a receptor chip. For example, the antibody or ligand is covalently attached to dextran fibers that are attached to gold film within the flow cell of the biosensor device. A test sample is passed through the cell. Any antigen present in the body fluid sample, binds to the immobilized antibody or ligand, causing a change in the refractive index of the medium over the gold film, which is detected as a change in surface plasmon resonance of the gold film.

In some embodiments, the presence or level of a protein or a fragment or epitope thereof is detected using a protein and/or antibody chip. To produce such a chip, an antibody or ligand that binds to the antigen of interest is bound to a solid support such as, for example glass, polycarbonate, polytetrafluoroethylene, polystyrene, silicon oxide, gold or silicon nitride. This immobilization is either direct (e.g. by covalent linkage, such as, for example, Schiff's base formation, disulfide linkage, or amide or urea bond formation) or indirect.

To bind a protein to a solid support it is often useful to treat the solid support so as to create chemically reactive groups on the surface, such as, for example, with an aldehyde-containing silane reagent or the calixcrown derivatives described in Lee et al, Proteomics, 3: 2289-2304, 2003. A streptavidin chip is also useful for capturing proteins and/or peptides and/or nucleic acid and/or cells that have been conjugated with biotin (e.g. as described in Pavlickova et al., Biotechniques, 34: 124-130, 2003). Alternatively, a peptide is captured on a microfabricated polyacrylamide gel pad and accelerated into the gel using microelectrophoresis as described in, Arenkov et al. Anal. Biochem. 278: 123-131, 2000.

Other assay formats are also contemplated, such as flow-through immunoassays (PCT/AU2002/01684), a lateral flow immunoassay (US 20040228761, US20040248322 or US20040265926), a fluorescence polarization immunoassay (FPIA) (U.S. Pat. Nos. 4,593,089, 4,492,762, 4,668,640, and 4,751,190), a homogeneous microparticles immunoassay (“HMI”) (e.g., U.S. Pat. Nos. 5,571,728, 4,847,209, 6,514,770, and 6,248,597) or a chemiluminescent microparticle immunoassay (“CMIA”). The contents of all of the patent applications and patents disclosed in this paragraph are incorporated herein by reference in their entirety.

Treatments By Test Results

As noted herein, the various methods and compositions can allow one to determine the likelihood of whether or not a subject with DCIS now will experience no further DCIS/invasive breast cancer, experience DCIS and/or experience invasive breast cancer. This ability allows one to determine a superior approach to therapy at the present, for example, while treating the current DCIS. That is, as compared to current DCIS standard of care (breast-conserving surgery (BCS) with adjuvant radiation therapy), more appropriate treatment may be selected for patients according to an individual risk profile detailed and described in Tables 13-15 and included herein by example. In such scenarios, where a subject is only likely to have a recurrence of DCIS, one can then treat (or instruct treatment in line with) at least one of the following: breast-conserving surgery (BCS) or frequent breast imaging for early detection of a ipsilateral breast event (watchful waiting). In some embodiments, if the subject is likely to have a subsequent invasive ipsilateral breast event, then the subject may be treated with at least BCS plus radiation therapy (RT), and may receive further adjuvant therapy of at least hormone therapy (e.g., tamoxifen or an aromase inhibitor), and/or HER2 therapy (e.g., Herceptin). In some embodiments, if a subject has a high likelihood of both an invasive ipsilateral breast event and a DCIS ipsilateral breast event then the subject can be treated with mastectomy and can receive further adjuvant therapy of at least hormone therapy and/or HER2 therapy.

As noted herein, the various methods and compositions can allow treatment of a patient diagnosed with DCIS in a more appropriate manner.

In some embodiments, rather than relying on standard clinical and pathologic factors to determine treatment or a risk profile to interpret, one can use a signature of biomarkers to direct performance of a therapy. This ability allows one a superior approach to therapy without having to determine therapy after interpreting a risk profile. That is, as compared to current DCIS standard of care (breast-conserving surgery (BCS) with adjuvant radiation therapy), more appropriate treatment may be given to patients according to a signature recommending treatment for patients based on a biological profile detailed and described in Tables 13-15 and included herein by example. In some embodiments, a subject is treated with BCS or frequent breast imaging for early detection of an ipsilateral breast event (watchful waiting) to reduce likelihood of a subsequent ipsilateral breast event. In some embodiments, the guided treatment is at least BCS plus radiation therapy and may include further adjuvant therapy of at least hormone therapy (e.g., tamoxifen or an aromatase inhibitor), and/or HER2 therapy (e.g., Herceptin) to reduce the likelihood of an invasive ipsilateral breast event. In some embodiments, the subject can be treated with mastectomy and can receive further adjuvant therapy of at least hormone therapy and/or HER2 therapy to reduce the likelihood that a subject/patient has an invasive ipsilateral breast event and/or a DCIS ipsilateral breast event.

TABLE 13 (Invasive Risk) REFERENCE EXAMPLE RISK ALTERNATIVE TABLE IN NUMBER LEVEL COMPONENTS TREATMENT TREATMENT APPLICATION 1) LOWER PR is POSITIVE and (AGE LOWER RISK LOWER RISK 1 RISK is LOW) TREATMENT TREATMENT ELEVATED PR is NEGATIVE and (AGE MASTECTOMY BCS + RT + RISK is LOW) ADJUVANT THERAPY 2) LOWER (PR is POSITIVE and HER2 LOWER RISK LOWER RISK TABLE 10.1 RISK is NEGATIVE) and (AGE is TREATMENT TREATMENT LOW) ELEVATED (PR is NEGATIVE OR MASTECTOMY BCS + RT + RISK HER2 is POSITIVE) and ADJUVANT (AGE is LOW) THERAPY 3) LOWER (PR is POSITIVE and HER2 LOWER RISK LOWER RISK TABLE 10.1 RISK is NEGATIVE) and (AGE is TREATMENT TREATMENT LOW) ELEVATED (HER2 is POSITIVE) and BCS + RT, ADJUVANT MASTECTOMY RISK (AGE is LOW) HER2 TREATMENT ELEVATED (HER2 IS NEGATIVE and MASTECTOMY BCS + RT RISK PR is NEGATIVE) and (AGE is LOW) 4) LOWER (SIAH2 is HIGH or HER2 is LOWER RISK LOWER RISK 10 ROW 6 RISK POSITIVE) and (PR is TREATMENT TREATMENT NEGATIVE) ELEVATED (SIAH2 is LOW and HER2 BCS + RT RISK is NEGATIVE) and (PR is NEGATIVE) 5) LOWER (FOXA1 is ELEVATED or LOWER RISK LOWER RISK 10 ROW 19 RISK HER2 is POSITIVE) and TREATMENT TREATMENT (PR is NEGATIVE) ELEVATED FOXA1 IS LOW and HER2 BCS + RT BCS + RT RISK is NEGATIVE and (PR is NEGATIVE) 6) LOWER (SIAH2 is ELEVATED and LOWER RISK LOWER RISK TABLE 10.1 RISK FOXA1 is ELEVATED and TREATMENT TREATMENT HER2 is NEGATIVE) and (AGE is ELEVATED and HER2 is POSITIVE) and PR is NEGATIVE ELEVATED (SIAH2 is LOW or FOXA1 BCS + RT MASTECTOMY RISK is LOW) and HER2 is NEGATIVE and PR is NEGATIVE) or (AGE is LOW and HER2 is POSITIVE and PR is NEGATIVE) 7) LOWER (FOXA1 is LOW or HER2 is LOWER RISK LOWER RISK TABLE 10.1 PR RISK POSITIVE) and AGE TREATMENT TREATMENT POSITIVE ELEVATED and PR is POSITIVE ELEVATED FOXA1 is ELEVATED and BCS + RT RISK HER2 is NEGATIVE) and AGE ELEVATED and PR is POSITIVE TABLE 13 LEGEND: FOXA1 is FOXA1 ASSESSED BY <150 IMMUNOSCORE LOW IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) FOXA1 is FOXA1 ASSESSED BY >=150 IMMUNOSCORE ELEVATED IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) PR is PR ASSEESED BY <15% NEGATIVE PERCENTAGE PR is PR ASSEESED BY >=15% POSITIVE PERCENTAGE HER2 is HER2 ASSESSED BY IHC HER2 IHC (1+ OR 2+), OR FISH NEG, NEGATIVE AS (EITHER 1+ OR 2+) OR OR SISH NEG; HOWEVER IF ANY BY FISH AS NEGATIVE OR OF THESE ARE POSITIVE THEN BY SISH AS NEGATIVE; THE RESULT IS POSITIVE HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE HER2 is HER2 ASSESSED BY IHC HER2 IHC (3+), OR FISH POS, OR POSITIVE AS (EITHER 3+) OR BY SISH POS; WHERE IF ANY OF FISH AS POSITIVE OR BY THESE ARE POSITIVE THEN THE SISH AS POSITIVE RESULT IS POSITIVE HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE AGE is AGE assessed by patient age at AGE <50 LOW diagnosis of initial DCIS AGE is AGE assessed by patient age at AGE >=50 ELEVATED diagnosis of initial DCIS SIAH2 is SIAH2 ASSEESED BY IHC <20 LOW AS PERCENTAGE SIAH2 is SIAH2 ASSEESED BY IHC >=30 ELEVATED AS PERCENTAGE PALPABLE The patient presented IS PALPABLE following the finding of a palpable mass in the breast or a physical exam found a palpable mass in the breast NOT The patient was not found to NOT PALPABLE PALPABLE have a palpable mass in the breast “<” means less than “<=” means less than or equal to “>” means greater than “>=” means greater than or equal to LOWER RISK TREATMENT: Breast conserving surgery (BCS) ONLY, without adjuvant therapy or BCS with adjuvant hormone treatment, in combination with either standard or more frequent than standard surveillance may be selected for patients with LOWER INVASIVE RISK. However, for patients assessed as having LOWER INVASIVE RISK of recurrence, the treatment also needs to reflect the risk potential for subsequent DCIS breast cancer. Additionally, the patient risk tolerance may be considered in selecting the nature of the treatment. For example, if INVASIVE recurrence is evaluated as LOWER RISK, but the risk of recurrent DCIS is ELEVATED, then breast conserving surgery with (adjuvant radiation therapy, or adjuvant hormone treatment), would be selected. For example, if INVASIVE recurrence is evaluated as LOWER RISK, but the risk of DCIS recurrence after initial diagnosis of DCIS is UNKNOWN, then breast conserving surgery with (adjuvant radiation therapy, or adjuvant hormone treatment) would be selected. In the case that the risk of invasive cancer is ELEVATED then Breast Conserving Surgery with Radiation therapy would be recommended, and if the risk of DCIS recurrence is also ELEVATED then additional adjuvant treatment or mastectomy may be indicated. The patient risk tolerance may be considered in the selection of the therapy for patients with ELEVATED INVASIVE RISK. Adjuvant treatment consisting of adjuvant hormone treatment or adjuvant targeted treatment for HER2 may be selected as the treatment to augment breast conserving surgery alone.

TABLE 14 (DCIS Risk) REFERENCE EXAMPLE ALTERNATIVE TABLE IN NUMBER RISK LEVEL COMPONENTS TREATMENT TREATMENT APPLICATION 1) LOWER RISK SIAH2 is LOW and AGE is LOWER DCIS LOWER RISK 5 ELEVATED RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK AGE is ELEVATED 2) LOWER RISK SIAH2 is LOW and AGE is LOWER DCIS LOWER RISK 3, 5 ELEVATED RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT + BCS + RT RISK PR is POSITIVE and AGE is ADJUVANT ELEVATED HORMONE TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK PR is NEGATIVE and AGE is ELEVATED 3) LOWER RISK SIAH2 is LOW and AGE is LOWER DCIS LOWER RISK 2, 5 ELEVATED RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT BCS + RT + RISK HER2 is POSITIVE and ADJUVANT AGE is ELEVATED TARGETED HER2 TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK HER2 is NEGATIVE and AGE is ELEVATED 4) LOWER RISK SIAH2 is LOW and (PR is LOWER DCIS LOWER RISK 4 NEGATIVE) RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK (PR is NEGATIVE or HER2 is POSITIVE) 5) LOWER RISK SIAH2 is LOW and (PR is LOWER DCIS LOWER RISK 4 NEGATIVE) RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT BCS + RT + RISK HER2 is POSITIVE ADJUVANT TARGETED HER2 TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK PR is NEGATIVE and HER2 is NEGATIVE 6) LOWER RISK SIAH2 is LOW and (PR is LOWER DCIS LOWER RISK 4, 5 NEGATIVE) RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK (PR is NEGATIVE or HER2 is POSITIVE or AGE is ELEVATED) 7) LOWER RISK SIAH2 is LOW and (PR is LOWER DCIS LOWER RISK 4, 5 NEGATIVE) RISK TREATMENT TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT BCS + RT + RISK HER2 is POSITIVE ADJUVANT TARGETED HER2 TREATMENT ELEVATED SIAH2 is ELEVATED and BCS + RT RISK (PR is NEGATIVE or AGE is ELEVATED) and HER2 is NEGATIVE 8) LOWER RISK FOXA1 is ELEVATED and LOWER DCIS LOWER RISK 6 (PR is POSITIVE) RISK TREATMENT TREATMENT ELEVATED FOXA1 is LOW and PR is BCS + RT BCS + RT + RISK POSITIVE ADJUVANT HORMONE TREATMENT 9) LOWER RISK ((FOXA1 is ELEVATED LOWER DCIS LOWER RISK 9 and PR is POSITIVE) or PR RISK TREATMENT is NEGATIVE) and (SIAH2 TREATMENT is LOW and (PR is NEGATIVE or HER2 is POSITIVE)) ELEVATED (FOXA1 is LOW and PR is BCS + RT BCS + RT + RISK POSITIVE) OR (SIAH2 is (ADJUVANT ELEVATED AND (PR is HORMONE NEGATIVE or HER2 is TREATMENT if POSITIVE)) PR is POS) or (ADJUVANT TARGETED HER2 TREATMENT if HER2 is POS) 10) LOW RISK ((FOXA1 is ELEVATED LOWER DCIS LOWER RISK 4, 5, 8, 9 and PR is POSITIVE) or PR RISK TREATMENT is NEGATIVE) and (SIAH2 TREATMENT is LOW and (PR is NEGATIVE or HER2 is POSITIVE or AGE is ELEVATED)) ELEVATED (SIAH2 is ELEVATED and BCS + RT RISK (PR is NEGATIVE or HER2 is POSITIVE or AGE is ELEVATED)) or (FOXA1 is LOW and PR is POSITIVE) TABLE 14 LEGEND: FOXA1 is FOXA1 ASSESSED BY <150 IMMUNOSCORE LOW IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) FOXA1 is FOXA1 ASSESSED BY >=150 IMMUNOSCORE ELEVATED IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) PR is PR ASSEESED BY <15% NEGATIVE PERCENTAGE PR is PR ASSEESED BY >=15% POSITIVE PERCENTAGE HER2 is HER2 ASSESSED BY IHC HER2 IHC (1+ OR 2+), OR FISH NEG, OR NEGATIVE AS (EITHER 1+ OR 2+) SISH NEG; HOWEVER IF ANY OF THESE OR BY FISH AS ARE POSITIVE THEN THE RESULT IS NEGATIVE OR BY SISH POSITIVE AS NEGATIVE; HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE HER2 is HER2 ASSESSED BY IHC HER2 IHC (3+), OR FISH POS, OR SISH POSITIVE AS (EITHER 3+) OR BY POS; WHERE IF ANY OF THESE ARE FISH AS POSITIVE OR POSITIVE THEN THE RESULT IS POSITIVE BY SISH AS POSITIVE HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE AGE is LOW AGE assessed by patient age AGE <50 at diagnosis of initial DCIS AGE is AGE assessed by patient age AGE >=50 ELEVATED at diagnosis of initial DCIS SIAH2 is LOW SIAH2 ASSEESED BY <20 IHC AS PERCENTAGE SIAH2 is SIAH2 ASSEESED BY >=30 ELEVATED IHC AS PERCENTAGE PALPABLE The patient presented IS PALPABLE following the finding of a palpable mass in the breast or a physical exam found a palpable mass in the breast NOT The patient was not found to NOT PALPABLE PALPABLE have a palpable mass in the breast “<” means less than “<=” means less than or equal to “>” means greater than “>=” means greater than or equal to LOWER DCIS RISK TREATMENT: Breast conserving surgery (BCS) ONLY, without adjuvant therapy or BCS with adjuvant hormone treatment, in combination with either standard or more frequent than standard surveillance may be selected for patients with LOWER DCIS RISK. However, for patients assessed as having LOWER DCIS RISK of recurrence, the treatment also needs to reflect the risk potential for subsequent invasive breast cancer. Additionally, the patient risk tolerance may be considered in selecting the nature of the treatment. For example, if DCIS recurrence is evaluated as LOWER RISK, but the risk of INVASIVE breast cancer after initial diagnosis of DCIS is ELEVATED RISK, then breast conserving surgery with (adjuvant radiation therapy, adjuvant targeted HER2 treatment, or adjuvant hormone treatment), or mastectomy would be selected. For example, if DCIS recurrence is evaluated as LOWER RISK, but the risk of INVASIVE breast cancer after initial diagnosis of DCIS is UNKNOWN, then breast conserving surgery with (adjuvant radiation therapy, adjuvant targeted HER2 treatment, or adjuvant hormone treatment), or mastectomy would be selected. In the case that the risk of recurrence of DCIS is ELEVATED RISK, then Breast Conserving Surgery with Radiation therapy would be recommended. The patient risk tolerance may be considered in the selection of the therapy for patients with ELEVATED DCIS RISK. Adjuvant treatment consisting of adjuvant hormone treatment or adjuvant targeted treatment for HER2 may be selected as the treatment to augment breast conserving surgery alone.

TABLE 15 (Combination of Invasive and DCIS Risk) REFERENCE EXAMPLE ALTERNATIVE TABLE IN NUMBER RISK LEVEL COMPONENTS TREATMENT TREATMENT APPLICATION 1) LOWER DCIS SIAH2 is LOW and PR is BCS + RT 3 RISK NEGATIVE ELEVATED SIAH2 is LOW and PR is 10 Row 6 INVASIVE NEGATIVE and HER2 is RISK NEGATIVE 2) ELEVATED FOXA1 is LOW and AGE BCS and BCS 9 DCIS RISK ELEVATED and PR is POSITIVE ADJUVANT LOWER PR is POSITIVE and FOXA1 is HORMONE 10 Row 9 INVASIVE LOW TREATMENT RISK 3) LOWER DCIS FOXA1 is ELEVATED and PR is BCS + RT AND BCS + RT 6 RISK POSITIVE ADJUVANT ELEVATED FOXA1 is ELEVATED and PR is HORMONE 10 Row 15 INVASIVE POSITIVE and HER2 is NEGATIVE TREATMENT RISK AND AGE IS ELEVATED 4) ELEVATED SIAH2 is LOW and PR is BCS + RT MASTECTOMY 3 DCIS RISK NEGATIVE and HER2 is NEGATIVE ELEVATED SIAH2 is LOW and PR is 10 Row 5 INVASIVE NEGATIVE and HER2 is RISK NEGATIVE TABLE 15 LEGEND: FOXA1 is FOXA1 ASSESSED BY <150 IMMUNOSCORE LOW IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) FOXA1 is FOXA1 ASSESSED BY >=150 IMMUNOSCORE ELEVATED IMMUNOSCORE (INTENSITY TIMES PERCENTAGE) PR is PR ASSEESED BY <15% NEGATIVE PERCENTAGE PR is PR ASSEESED BY >=15% POSITIVE PERCENTAGE HER2 is HER2 ASSESSED BY IHC AS HER2 IHC (1+ OR 2+), OR FISH NEG, OR NEGATIVE (EITHER 1+ OR 2+) OR BY SISH NEG; HOWEVER IF ANY OF THESE FISH AS NEGATIVE OR BY ARE POSITIVE THEN THE RESULT IS SISH AS NEGATIVE; POSITIVE HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE HER2 is HER2 ASSESSED BY IHC AS HER2 IHC (3+), OR FISH POS, OR SISH POSITIVE (EITHER 3+) OR BY FISH AS POS; WHERE IF ANY OF THESE ARE POSITIVE OR BY SISH AS POSITIVE THEN THE RESULT IS POSITIVE POSITIVE HOWEVER IF ANY OF THESE ARE POSITIVE THEN THE RESULT IS POSITIVE AGE is AGE assessed by patient age at AGE <50 LOW diagnosis of initial DCIS AGE is AGE assessed by patient age at AGE >=50 ELEVATED diagnosis of initial DCIS SIAH2 is SIAH2 ASSEESED BY IHC <20 LOW AS PERCENTAGE SIAH2 is SIAH2 ASSEESED BY IHC >=30 ELEVATED AS PERCENTAGE PALPABLE The patient presented following IS PALPABLE the finding of a palpable mass in the breast or a physical exam found a palpable mass in the breast NOT The patient was not found to NOT PALPABLE PALPABLE have a palpable mass in the breast “<” means less than “<=” means less than or equal to “>” means greater than “>=” means greater than or equal to

In some embodiments, the marker signatures disclosed and described herein can be used to comprehensively determine a total recurrence or progression risk and therefore, determine a more appropriate treatment. The (a) markers listed in Table 13 are used to assess risk of an invasive cancer and (b) the markers listed in Table 14 are used to assess risk of a DCIS event. In combination, the total risk, which includes risk of an invasive event and risk of a DCIS event, may be determined and used to recommend a more appropriate treatment. For example, if a patient is found to be of low risk for an invasive event according to Table 13 but at a high risk for a DCIS event according to Table 14, the patient would be at a high total risk of recurrence. As disclosed and described herein, the various methods and compositions can allow one to determine the likelihood of (a) a recurrent breast event, (b) progression to invasive or metastatic cancer, or (c) whether or not a subject/patient with DCIS now will experience no further DCIS/invasive breast cancer, experience DCIS and/or experience invasive breast cancer and to thus, treat a patient diagnosed with DCIS in a more appropriate manner. The same can be applied for Table 15, as a combined option.

In some embodiments, the marker signatures disclosed and described herein can be used to comprehensively treat a patient in a manner that appropriately reduces the risk of total recurrence or progression, including an invasive event or a DCIS event. For example, (a) the marker signatures in Table 13 can be used to identify a treatment that reduces the risk of an invasive event and (b) the marker signatures in Table 14 can be used to identify a treatment that reduces the risk of an DCIS event and/or identify treatment to reduce total risk according to Table 13 and Table 14. The same can be applied for Table 15, as a combined option.

The following is a non-exhaustive list of examples of treatment alternatives for patients based on their individual risk profiles as set forth in Tables 13-15.

New Alternatives for Low Risk Patients

Watchful Waiting Plus Frequent Observation. Lumpectomy-eligible patients found to be low risk by testing a biopsy sample in combination with the various methods and compositions disclosed and described herein could be designated for watchful waiting without additional surgery, regardless of margin status, or perhaps smaller or positive margins could be tolerated after lumpectomy surgery. More frequent observation could also be prescribed in conjunction with watchful waiting. This would minimize treatment and the associated costs and adverse effects.

Breast-Conserving Surgery Only. By assessing risk in a biopsy or surgically-resected tissue sample with the various methods and compositions disclosed and described herein, patients identified as low-risk (particularly those at low risk for an invasive event) can be identified for whom definitive lumpectomy (with clear margins) is sufficient treatment without the need for adjuvant radiation therapy. This results in preservation of the breast; elimination of radiation-associated adverse effects, including damage to the breast; reduction in treatment costs, recovery time, and complication rates; and improves patient convenience. In addition, patients with previous thoracic radiation can safely receive lumpectomies, and most patients would retain their ability to receive future lumpectomies and/or radiation.

Breast-Conserving Surgery With Adjuvant Endocrine Therapy.

Low-risk patients (particularly those at low risk for an invasive event) that are hormone receptor positive can be treated with lumpectomy and adjuvant endocrine therapy. This results in preservation of the breast; elimination of radiation-associated adverse effects, including damage to the breast; reduces cost, recovery time, and complication rates; and improves patient convenience. In addition, patients with previous thoracic radiation can safely receive lumpectomies, and most patients would retain their ability to receive future lumpectomies and/or radiation.

New Alternatives for High Risk Patients

Breast-Conserving Surgery With Adjuvant Endocrine Therapy. Lumpectomy-eligible patients found to have an elevated risk profile using the various methods and compositions disclosed and described herein can be treated more aggressively, such as by attempting to achieve wider margins during the initial lumpectomy and/or treating with adjuvant endocrine therapy after surgery in the case the patient is hormone receptor positive, typically assessed by ER or PR.

Older (not young) patients that have an elevated total recurrence risk but low invasive risk found to be hormone receptor positive, can be treated by lumpectomy and adjuvant endocrine therapy whereas current standard of care would include lumpectomy and radiation therapy at a minimum.

Breast-Conserving Surgery With Adjuvant ErbB2 Targeted Therapy. Lumpectomy-eligible patients found to have an elevated risk profile (particularly those at high risk for an invasive event) using the various methods and compositions disclosed and described herein can be treated more aggressively, such as by attempting to achieve wider margins during the initial lumpectomy and/or treating with adjuvant ErbB2 targeted therapy (such as Herceptin) after surgery in the case where the patient is HER2 positive.

Mastectomy. Lumpectomy-eligible patients found to have a very high-risk profile from an initial biopsy using the various methods and compositions disclosed and described herein can be candidates for mastectomy with or without adjuvant radiation and/or hormone therapy (or even cytotoxic chemotherapy). The upgrades to more aggressive therapy would minimize the likelihood of potentially life-threatening recurrences and give patients peace of mind.

EXAMPLES Example 1

Patients included in the noted studies are from population-based observational cohorts of women diagnosed with ductal carcinoma in situ (DCIS) without evidence of invasive breast cancer, who were treated with either breast-conserving surgery (BCS) or full mastectomy with or without radiation therapy (RT). The Uppsala University Hospital (UUH) patient set (Uppsala, Sweden) includes a total of 458 DCIS patients diagnosed between 1986 and 1994, of which 201 received BCS-only, 153 received BCS+RT, and 104 received mastectomy. At last follow-up, there were 47 recurrences each of the invasive and DCIS types in the UUH patient set. The University of Massachusetts Memorial Hospital (UMass) patient set (Worcester, Mass.) includes 296 patients with available tumor tissue diagnosed between 1999 and 2008, of which 90 received BCS-only and 206 received BCS+RT. Demographic, clinical, pathological, treatment, and long-term outcome data for the patients were derived from medical records and entered into a database.

Patient specimens used for the detection of the biomarkers were surgically removed breast tissues that were cut into small blocks and submerged in fixative. Following fixation, the blocks were dehydrated and then embedded in paraffin wax.

Ultrathin sections, approximately three to five micrometers in thickness, were then cut off the formalin-fixed paraffin-embedded (FFPE) tumor blocks using a microtome and floated in a water bath. The sections were carefully mounted onto glass microscope slides, ensuring that the tissue did not become folded or fragmented, which could interfere with the assays. The glass microscope slides contained a positively charged surface in order bind to the negatively charged tissue sections, although other methods of tissue binding, including adhesives, can also be compatible.

Wax removal and rehydration of the tissue sections was then carried out. These processes were done manually and with automated certain staining instruments. Rehydration was accomplished by passing the slides through a series of decreasingly concentrated alcohol solutions until a concentration of 0% is reached (pure water). Following wax removal and rehydration, the tissue sections were stained with hematoxylin and eosin (H&E) and for a variety of molecular markers using immunohistochemistry (IHC) and/or in situ hybridization (ISH) assays and then assessed by pathologists or histotechnologists, as described below.

All patients to be assessed have previously been diagnosed with DCIS. However, given interobserver variability in the diagnosis of in situ disease between pathologists, particularly in borderline intraductal neoplasia, a central review will be done to confirm DCIS using slide-mounted tissue sections stained with hematoxylin and eosin (H&E) or an equivalent histology stain. The assessment is done consistent with WHO classification of tumors of the breast (Lakhani S R. WHO classification of tumours of the breast. Lyon: International Agency for Research on Cancer, 2012, and Tavassoli F A and Devilee P, Tavassoli F A, Devilee P. Pathology and genetics of tumours of the breast and female genital organs. Lyon: IARC Press, 2003)—see definition of DCIS section. These references contain sample images and review characteristic features of DCIS and differential diagnosis with other breast disease entities, such as invasive breast cancer (including microinvasion defined as invasion ≤1 mm), lobular carcinoma in situ (LCIS), in situ Paget's, atypical ductal hyperplasia (ADH), sclerosing adenosis, etc.).

Cases Suspected to have Invasive (or Microinvasive) Carcinoma Based Upon Morphologic Features:

Normal breast ducts and lobules as well as intraductal epithelial proliferations are composed of two epithelial layers. Loss of the outer myoepithelial layer is the hallmark of infiltrating carcinoma of the breast. The outer myoepithelial layer is retained in all benign proliferative processes as well as ductal carcinoma in situ. Consequently identification of the presence or loss of myoepitheilium using antibodies to the myoepithelial-specific proteins can be helpful in distinguishing in situ from infiltrating carcinoma in circumstances where morphology may be equivocal (Kalof A N et al., 2004, Barbareschi M et al., 2001).

If there is unequivocal morphologic evidence of invasion, including microinvasion, the patient is ineligible for the prognostic DCIS testing. If, upon morphologic examination of the tumor focus, there is a question of invasion or microinvasion, additional myoepithelial marker immunostudies (p63 and/or smooth muscle myosin heavy chain (SMMHC) immunostains) will be performed to examine the continuity of the myoepithelial cell layers and confirm and/or exclude the presence of (micro)invasive carcinoma.

Images: P63 and SMMHC Immunostains in Distinguishing Invasive Ductal Carcinoma from DCIS

FIG. 8 depicts a P63 immunostain showing loss of a myoepithelial investiture (arrows), confiming presence of invasive ductal carcinoma. Focus of DCIS shows retention of the outer myoepithelial layer in upper left corner of image.

FIG. 9 depicts a smooth muscle myosin heavy chain (SMMHC) immunostain showing loss of a myoepithelial investiture (arrows), consistent with invasive ductal carcinoma. Focus of DCIS shows retention of the outer myoepithelial layer (*).

Cases Suspected to be of Lobular Origin Based Upon Morphologic Features:

It has been demonstrated that in histologic settings where ductal and lobular neoplasia might be confused, particularly in the setting of in situ carcinoma, where there can be significant differences in patient management), loss of expression of E-cadherin by immunohistochemistry can confirm the diagnosis of lobular carcinoma, even in the setting of non-classical morphologic findings (Acs G, Lawton T J, Rebbeck T R, LiVolsi V A, Zhang P J. Differential expression of E-cadherin in lobular and ductal neoplasms of the breast and its biologic and diagnostic implications. Am J Clin Pathol 2001; 115, 85-98). In lobular neoplasia, mutations in the E-cadherin gene result in loss of expression of E-cadherin, a cell surface adhesion molecule present in normal breast epithelium and ductal carcinoma. The role of E-cadherin in homotypic cell-cell binding, loss of expression of this cell surface protein accounts for the characteristic non-cohesive growth pattern of lobular carcinoma.

If, upon examination of an intraductal epithelial proliferation, it is unclear whether the intraductal tumor is ductal or lobular in nature, an E-cadherin immunostain will be performed to confirm ductal or lobular differentiation. If lobular carcinoma in situ (LCIS) is confirmed histologically or by loss of e-cadherin by immunohistochemistry, the patient is ineligible for further prognostic testing.

If there is no evidence of DCIS or invasive carcinoma, additional tissue blocks can be requested for morphologic review. FIG. 10 depicts an image of an e-Cadherin immunostain to distinguish LCIS From DCIS.

Loss of e-cadherin expression confirms the lobular nature of this intraductal epithelial proliferation. Adjacent normal ducts on left are e-cadherin-positive.

Criteria for Exclusion:

No DCIS identified

Invasive or microinvasive carcinoma identified

LCIS, not DCIS identified

Tissue folded over in area of interest—not possible to score adequately

Specimens

Tumor sections (four-microns thick) were cut from archived formalin-fixed paraffin-embedded (FFPE) resected tissue blocks (or tissue microarrays [TMAs] manufactured from such blocks) and mounted onto glass microscope slides. The sections were stained for a variety of molecular markers using immunohistochemistry (IHC) and/or in situ hybridization (FISH) assays and then assessed by pathologists or histotechnologists.

Markers

For IHC assays (Table 16), the sections underwent antigen retrieval, incubations with primary antibodies and detection reagents (including 3,3′-diaminobenzidine tetrahydrochloride [DAB]), and counter-staining with hematoxylin. Most IHC markers were scored by pathologists for percentage (0-100%) and intensity (0, absent; 1, weak; 2, moderate; 3, strong). Immunoscores (the product of percentage and intensity on a scale of 0-300) were calculated for FOXA1, and Allred scores were calculated for COX2. HER2 was scored using the standard 0/1+/2+/3+ HercepTest scoring system.

TABLE 16 LIST OF MARKERS, PRIMARY ANTIBODIES, AND SOME EMBODIMENTS OF SCORING THRESHOLDS AND CELLULAR COMPARTMENTS FOR IHC ASSAYS. Marker Primary antibody Scoring threshold(s) (compartment) PR 16 <10% vs. ≥10% (nuclear) HER2 SP3 or Dako 0/1+/2+ vs. 3+ (membrane) HercepTest Ki-67 MIB-1 <10% vs. ≥10% (nuclear) COX2 SP21 Allred ≤6 vs. >6 (cytoplasmic/membrane) FOXA1 2F83 Immunoscores: ≤100 vs. >100 to ≤250 vs. >250 (nuclear) p16/INK4A E6H4 ≤25% vs. >25% (nuclear) SIAH2 24E6 ≤20% vs. >20% (nuclear)

HER2 was also assessed by ISH in some samples, using a combination of HER2 and chromosome 17 probes via silver ISH (Ventana Medical Systems Inform HER2 kit) or fluorescence ISH (Abbott Molecular PathVysion HER2 kit). Amplification of HER2 genes was determined according to manufacturer instructions.

Kaplan-Meier survival analyses were used to estimate the proportions of patients who experienced first events (DCIS or invasive recurrence) after initial DCIS diagnosis/surgery. Hazard ratios (HR) were determined using Cox proportional hazards analysis. At the time of first events (DCIS or invasive), patients were censored for the other event type. Patients were also censored if an event was detected within 6 months of surgery or on the first post-surgery mammogram, because this was considered persistent, rather than recurrent, disease.

Assessment of Human Epidermal Growth Factor Receptor 2 (HER2/Neu or CD340) Immunohistochemical Staining

HER2 immunohistochemistry is scored according to CAP-ASCO guidelines (Wolff A C et al., 2013) with modification for scoring on intraductal tumor cells (and not invasive tumor cells). In short, HER2 immunostaining results are scored as negative (either IHC 0 or IHC 1+ immunostaining signal), positive (IHC 3+ immunostaining signal), or equivocal (IHC 2+ immunostaining signal).

HER2 IHC 0-3+ are defined as follows:

-   -   IHC 0 is defined by no staining observed or membrane staining         that is incomplete and is faint/barely perceptible and within         ≤10% of the tumor cells     -   IHC 1+ is defined by incomplete membrane staining that is         faint/barely perceptible and within >10% of the tumor cells     -   IHC 2+ is defined by circumferential membrane staining that is         incomplete and/or weak/moderate (observed in a homogeneous and         contiguous population) and within >10% of the invasive tumor         cells or complete and circumferential membrane staining that is         intense and within ≤10% of the tumor cells     -   IHC 3+ is defined by circumferential membrane staining that is         complete, intense (observed in a homogeneous and contiguous         population and within >10% of the tumor cells; readily         appreciated using a low power objective)         Criteria for Exclusion:

No DCIS identified or area of DCIS is not present on immunostained slide

Area of DCIS is difficult to evaluate (due to tissue disruption/tissue folding etc.).

Exemplary HER2 staining and scoring is shown in FIGS. 11A-11D.

Assessment of Ki-67 Immunohistochemical Staining

Ki-67 immunohistochemistry is scored based upon the percentage of in situ tumor cells staining positive regardless of intensity. The percentage of in situ tumor cell staining positively will be recorded for all cases and reported as follows: 0%, 1%, 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%. All areas of the tissue section containing in situ carcinoma should be evaluated to arrive at this average percentage.

The intensity of staining should be recorded and reported as weak (1+), moderate (2+), or strong (3+); this measurement should represent an estimate of the average staining of the intensity of the positively stained tumor cells on the entire tissue section relative to the intensity of positive controls run with the same batch.

Criteria for Exclusion:

No DCIS identified or area of DCIS is not present on immunostained slide

Area of DCIS is difficult to evaluate (due to tissue disruption/tissue folding etc.)

Exemplary Ki-67 staining is shown in FIG. 12 .

Assessment of p16-INK4A Immunohistochemical Staining

p16 is scored using a scoring system by combining the sum of a proportion score (PS) and average intensity score (IS). The p16ink4a staining pattern is nuclear and cytoplasmic and often heterogeneous in nature. Nuclear and cytoplasmic staining will be assessed individually in DCIS and in the stroma around DCIS, nuclear and cytoplasmic staining of stromal cell will be assessed together. Only staining that is at least intermediate (2+) or greater (strong 3+) in intensity will be considered positive staining. Weak 1+ cytoplasmic and/or nuclear staining will be considered negative. The proportion of positive cells is calculated based upon the inclusion of all cells showing cytoplasmic/nuclear staining of intermediate (2+) and/or strong (3+) intensity. The proportion of positive cells should be estimated as closely as possible using the following average scores: 0%, 1%, 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%. The average intensity (either 2+ or 3+) will also be scored. At least two ducts with DCIS are required for scoring.

Criteria for Exclusion:

No DCIS identified

Tissue folded over in area of interest—not possible to score adequately

Assessment of Progesterone Receptor (PR) Immunohistochemical Staining

PR immunohistochemistry is scored according to CAP-ASCO guidelines (Hammond M E et al., 2010). The percentage of in situ tumor cell staining positively will be recoreded and reported for all cases. All areas of the tissue section containing in situ carcinoma should be evaluated to arrive at this percentage. The intensity of staining should be recorded and reported as weak (1+), moderate (2+), or strong (3+); this measurement should represent an estimate of the average staining of the intensity of the positively stained tumor cells on the entire tissue section relative to the intensity of positive controls run with the same batch.

DCIS exhibiting less than 10% of tumor cells staining for PR of any intensity should be considered negative based on data that such patients do not receive meaningful benefit from endocrine therapy. The sample should only be considered negative in the presence of appropriately stained extrinsic and internal controls. Any specimen lacking internal control elements (normal breast ductal epithelium) that is negative on PR assay should be repeated using another tumor block or another tumor specimen and reported as uninterpretable rather than as negative.

Criteria for Exclusion:

-   -   No DCIS identified or area of DCIS is not present on         immunostained slide     -   Area of DCIS is difficult to evaluate (due to tissue         disruption/tissue folding etc. . . . )

Exemplary PR staining is shown in FIGS. 13A-13C.

Assessment of SIAH2 Immunohistochemical Staining

SIAH2 is scored using a modified Allred scoring system by combining the sum of a proportion score (PS) and average intensity score (IS). The SIAH2 staining pattern is nuclear and often heterogeneous. At least two ducts with DCIS can be used for scoring. The proportion of positive cells is calculated based upon the inclusion of all cells showing nuclear staining of all intensities: weak, intermediate, and strong. The proportion of positive cells should be estimated as closely as possible using the following average scores: 0%, 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%.

Criteria for Exclusion:

-   -   No DCIS identified     -   Tissue folded over in area of interest—not possible to score         adequately

Additional examples of marker storing and staining are presented in FIGS. 1-7 , as outlined below.

For each of the 7 markers, microscope slide mounted tissue sections (approximately four micrometers in thickness), which were cut from patient tumor blocks that had been fixed in formalin and embedded in paraffin, were dewaxed and rehydrated.

FIG. 1 depicts the PR IHC assays (top, negative; bottom, positive) that were conducted on a UUH TMA with epitope retrieval done in 10 mM citrate buffer for 8 minutes in a microwave pressure cooker, followed by primary antibody incubation with rabbit monoclonal SP2 (Lab Vision) at a 1:1,500 dilution for 40 minutes, followed by detection with the EnVision+ detection system (Dako).

FIG. 2 depicts the HER2 IHC assays (top, negative; bottom, positive) that were conducted on a Biomax BR8011 TMA with epitope retrieval done in 0.05 M Tris (pH 10) in a steamer for 8 minutes in a microwave pressure cooker, followed by primary antibody incubation with rabbit monoclonal SP3 (Lab Vision) at a 1:200 dilution for 40 minutes, followed by detection with the EnVision+ detection system (Dako).

FIG. 3 depicts the p16/INK4A IHC assays (top, negative; bottom, positive) that were conducted on a Biomax BR8011 TMA with epitope retrieval done in 0.05 M Tris/0.1 M EDTA (pH 9) buffer for 20 minutes in a steamer, followed by primary antibody incubation with mouse monoclonal E6H4 (MTM Laboratories) for 30 minutes, followed by detection with the EnVision+ detection system (Dako).

FIG. 4 depicts Ki-67 IHC assays (top, negative; bottom, positive) that were conducted on a Biomax BR8011 TMA with epitope retrieval done in Tris/EDTA (pH 9) buffer for 20 minutes in a steamer, followed by primary antibody incubation with mouse monoclonal MIB-1 (Dako) at a 1:500 dilution for 40 minutes, followed by detection with the EnVision+ detection system (Dako).

FIG. 5 depicts COX2 IHC assays (top, negative; bottom, positive) that were conducted on a Biomax BR8011 TMA with epitope retrieval done in 10 mM citrate buffer for 8 minutes in a microwave pressure cooker, followed by primary antibody incubation with rabbit monoclonal SP21 (Lab Vision) at a 1:100 dilution for 30 minutes, followed by detection with the EnVision+ detection system (Dako).

FIG. 6 depicts SIAH2 IHC assays (top, negative, on a UUH TMA; bottom, positive, on a Biomax BR8011 TMA) that were conducted with epitope retrieval in EDTA buffer (pH 8) for 20 minutes in a steamer, followed by primary antibody incubation with mouse monoclonal 24E6 (Dr. Amy Tang) at a 1:400 dilution, followed by detection with the UltraVision HRP detection system (Thermo Scientific).

FIG. 7 depicts FOXA1 IHC assays (top, negative; bottom, positive) that were conducted on a Biomax BR8011 TMA with epitope retrieval done in 10 mM citrate (pH 6) buffer for 20 minutes in a steamer, followed by primary antibody incubation with rabbit monoclonal SP88 (Spring Bioscience) at a 1:100 dilution for 40 minutes, followed by detection with the EnVision+ detection system (Dako).

Example 2

FOXA1 and PR predict ipsilateral event risk and identify a group with strong radiation response in ductal carcinoma in situ (DCIS).

Identification of biomarkers in DCIS is useful to help guide treatment decisions, particularly for patients receiving breast-conserving surgery (BCS). The goal of this study was to assess FOXA1 levels in the context of PR status in primary DCIS to predict ipsilateral invasive and DCIS events, given the established roles of these endocrine signaling factors in breast cancer.

Patients included in this study (n=518) were women diagnosed with DCIS without evidence of invasive cancer treated with BCS, and for whom tumor tissue was evaluable for both PR and FOXA1. An Uppsala University Hospital (UUH) set was diagnosed in 1986-2004 (117 treated and 122 not treated with adjuvant radiation therapy [RT]); and a University of Massachusetts Memorial Hospital (UMass) set was diagnosed in 1999-2008 (195 treated and 84 not treated with RT).

Tumors were immunohistochemically stained for PR and FOXA1 and scored by pathologists for percentage (0-100) and intensity (0-3), with the product being calculated for FOXA1 immunoscore (0-300). Patients were considered PR+ when ≥10% of cells stained positively, and immunoscore thresholds of 100 and 270 were used to separate patients into FOXA1 low, intermediate, and high groups. Event rates were assessed for 10-year outcome using Kaplan-Meier survival analysis. Hazard ratios (HR) were determined using Cox proportional hazards analysis.

In non-RT-treated patients, neither FOXA1 nor PR were prognostic as independent factors for either invasive or DCIS event risk. However, in the PR+ subset, the invasive event rate increased with increasing FOXA1 (0%, 10%, and 13%, respectively, HR=2.9/bin, p=0.046), while the invasive event rate was lower in the PR− subset with elevated FOXA1 levels (3% in FOXA1 int./high vs. 25% in FOXA1 low, HR=9.7, p=0.006). In contrast, the DCIS event rate increased in the PR− subset with increasing FOXA1 (3%, 15%, and 22%, respectively, HR=2.1/bin, p=0.040), while the DCIS event rate was lower in the PR+ subset with elevated FOXA1 levels (8% in FOXA1 int./high vs. 28% in FOXA1 low, HR=3.7, p=0.011).

In the full population, RT-treated patients (n=312) fared better than the non-irradiated (n=206) with invasive event rates of 6% and 10%, respectively. However, the event rate in patients with elevated marker-based invasive event risk based on PR and FOXA1 status (n=195) was reduced from 22% to 4% with RT. In contrast, the remainder of patients (n=323) showed no evident RT response. In a multivariate Cox analysis, the high-risk group (HR=5.0, p=0.005) and RT response within that group (HR=0.13, p=0.013) were significant when adjusted for clinicopathologic factors, but baseline RT response was not (p=0.29).

These data demonstrate a complex interaction between PR and FOXA1, in which the prognosis for invasive and DCIS events flips both within and between the event types. Thus, the biology that drives these events differs and, in order to predict both event types, risk models must include biomarkers in context. In addition, PR/FOXA1 identified a risk group with remarkably strong RT response with the remaining patients exhibiting no measurable response. See results in FIG. 40 and FIG. 41 .

Example 3

Validation of a multi-marker test that predicts recurrence in patients diagnosed with ductal carcinoma in situ (DCIS) and treated with breast-conserving surgery (BCS).

DCIS is diagnosed in ˜54,000 women/year in the US. Identifying the patients who are most likely to recur has been deemed one of the most important unmet needs in invasive breast cancer treatment. The goal of this study was to develop and blindly validate a multi-marker risk stratification test in DCIS patients treated with BCS.

A variety of clinical, pathological, immunohistochemical, and in situ hybridization data were derived from a set of patients diagnosed with DCIS (without evidence of invasive breast cancer) between 1986 and 2004 in Uppland and Vastmanland, Sweden—the Uppsala University Hospital (UUH) patient set. Separate models to predict DCIS and invasive event risk were developed using statistical pattern recognition and modeling methods on UUH patients treated with BCS in the absence of adjuvant therapy (n=200). In addition, an “overall” risk model was created by combining the DCIS and invasive models. The risk models consist of algorithms that combine data on p16/INK4A, Ki-67, COX2, PR, HER2, FOXA1, SIAH2, CD31, patient age, necrosis, tumor size, palpability, and/or margin status, along with predefined thresholds that create low, intermediate, and high risk groups (“elevated” risk groups combine the intermediate and high risk groups).

The models were then tested blindly on a set of patients diagnosed with DCIS and treated with BCS from 1999 through July 2008 at the University of Massachusetts Memorial Hospital, Worcester, Mass. (UMass patient set). Molecular marker data was collected with CLIA-validated assays and Board-certified pathologists, and other data was collected from medical records. Testing was done according to a predefined statistical analysis plan in the UMass patients equivalent to those in the UUH patient training set—those with complete marker data and treated with BCS, and were either PR− negative or not treated with hormone therapy (n=155). Event rates were assessed for up to 10-year outcome using Kaplan-Meier survival analysis. Hazard ratios (HRs) were determined using Cox proportional hazards analysis.

The 10-year event rate in the full population was 10% overall (5% invasive plus 5% DCIS). For the invasive risk model, the low (n=53) and elevated (n=102) risk groups had 0% and 8% 10-year invasive event rates, respectively. For the DCIS risk model, the low (n=97) and elevated (n=58) risk groups had 1% and 13% 10-year DCIS event rates, respectively.

For the overall risk model (combined risk of DCIS or invasive events), the low (n=34), intermediate (n=51), and high (n=70) risk groups had 0%, 12%, and 15% overall 10-year event rates, respectively (HR=4.1/bin, p=0.0088). The overall risk model maintained significance when adjusted for nuclear grade, tumor size, patient age, necrosis, and margin status, while none of these clinicopathologic factors demonstrated significance in the presence of the model.

This study indicates that the present approach to risk stratification modeling can accurately identify patients at risk for DCIS or invasive events after a primary DCIS diagnosis.

Example 4

A risk stratification test identifies breast-conserving surgery (BCS)-treated ductal carcinoma in situ (DCIS) patients at high risk of recurrence despite receiving adjuvant radiation therapy (RT).

Adjuvant RT after BCS for DCIS reduces ipsilateral event rates (both DCIS and invasive) by approximately 50% relative to BCS alone. However, RT does not reduce the event rate down to the level achieved with mastectomy. We have developed a risk stratification test designed to assess risk of recurrence in patients with primary DCIS treated with BCS to help guide the decision to treat with adjuvant RT. The goal of the following analysis was to determine whether the test can identify patients who remain at high risk despite receiving RT.

Risk models to predict DCIS and invasive event risk were developed using statistical pattern recognition and modeling methods on a set of DCIS patients treated with BCS without radiation or adjuvant hormone therapy through Uppsala University Hospital (UUH) between 1986 and 2004 (n=200, UUH “training set”). In addition, an “overall” risk model was created by combining the DCIS and invasive models. The risk models include algorithms that combine data on p16/INK4A, Ki-67, COX2, PR, HER2, FOXA1, SIAH2, CD31, patient age, necrosis, tumor size, palpability, and/or margin status, along with predefined thresholds that create low, intermediate, and high risk categories (“elevated” risk groups combine the intermediate and high risk groups). The models were tested on a set of independent patients diagnosed with DCIS and treated with BCS and RT, and were either PR− negative or not treated with hormone therapy. The independent “testing set” patients (n=198) were treated through the University of Massachusetts Memorial Hospital, Worcester, Mass. in 1999 through July 2008 (UMass, n=118) and at UUH (n=80). Molecular marker data was collected with CLIA-validated assays and Board-certified pathologists, and other data was collected from medical records. Event rates were assessed using Kaplan-Meier survival analysis. Hazard ratios (HRs) were determined using Cox proportional hazards analysis.

The 12-year event rate in the full independent testing set population was 15% overall (9% invasive plus 6% DCIS). For the overall risk model (combined risk of DCIS or invasive events), the low (n=44), intermediate (n=69), and high (n=85) risk groups had 12-year event rates of 5%, 3%, and 32%, respectively (HR=4.5/bin, p=3.4E-5). For the invasive risk model, the low (n=80) and elevated (n=118) risk groups had 12-year event rates of 3% and 14%, respectively (HR=7.2, p=0.015). For the DCIS risk model, the low (n=113), intermediate (n=50), and high (n=35) risk groups had 12-year event rates of 2%, 4%, and 25%, respectively (HR=3.8/bin, p=0.00032).

Margin status by itself was significant for overall event risk (HR=3.3, p=0.0012) but lost significance in the presence of the overall risk model. The overall risk model maintained significance when adjusted for all clinicopathologic factors.

Our risk models can identify patients at risk for DCIS or invasive events after a primary DCIS diagnosis and treatment with BCS, despite their receiving RT. The models are the basis of a comprehensive multi-marker panel currently undergoing formal validation.

Overall ipsilateral event risk (combined invasive and DCIS events), UUH test and UMASS test (BCS with radiation and without adjuvant hormone therapy), Low solid, intermediate—, and high risk . . . patients n=44, n=69, and n=85. Low and intermediate (n=113) versus high risk (n=85) (HR=7.4, p=2.6e-5). The results are presented in FIG. 14 . In addition, invasive event risk is also shown. UUH test and UMASS test (BCS with radiation and without adjuvant hormone therapy). Low solid, intermediate and high risk—patients n=80, n=118 (HR=7.2, p=0.015). The results are presented in FIG. 15 .

Example 5

A prognostic risk profile was evaluated in subjects independent of those used for test development. The test was evaluated in 183 subjects from a University of Massachusetts study whom were diagnosed with DCIS and treated with or without radiation therapy and without adjuvant hormone therapy (PR− positive subjects only). The test identified subjects (the risk profile was produced from the biomarkers: COX2, KI67, P16, PR, HER2, FOXA1, SIAH2, and CD31, along with the clinicopathologic factors: tumor palpability, BCS margin status, patient age, and DCIS tumor necrosis. Subjects included in the independent assessment had minimum biomarker complete results for PR and HER2 and (FOXA1 or SIAH2, or KI67 and either COX2 or P16). Subjects whom were PR positive and treated with adjuvant hormone therapy were excluded from assessment. Subjects from UUH whom were BCS treated without radiation (whom were used as a developmental cohort) were excluded from the independent assessment) at low risk of progression to either invasive breast cancer or a secondary DCIS event (0% 10 year observed risk). The test identified subjects at risk for either ipsilateral invasive or secondary DCIS events, and the test identified subjects at risk for both ipsilateral invasive and secondary DCIS events.

Subjects at low risk for either ipsilateral Invasive or secondary DCIS events after BCS treatment (top line) N=45, 10 year Endpoint 100% (100-100); Subjects at elevated risk for either ipsilateral Invasive or DCIS events after BCS treatment (middle line) N=97 (10 Year Endpoint 91% (82%-100%); Subjects at elevated risk for both ipsilateral DCIS and Invasive events after BCS treatment. (bottom line) N=41 (78% (62%-96%). Total N=183; HR/bin=4.4 (1.6-12) p(LR)=0.0021. (See FIG. 16 )

Validation Summary: Uppsala University, Sweden (UUH) and University of Massachusetts USA (UMASS)

A prognostic risk profile was evaluated in subjects independent of those used for test development using both UUH and UMASS subjects. The test was evaluated in 311 subjects from either (a) the UUH study when treated with BCS with radiation and without adjuvant hormone therapy or (b) from the University of Massachusetts Study whom were diagnosed with DCIS and treated with or without radiation therapy and without adjuvant hormone therapy (PR− positive subjects only). The test identified subjects at low risk for either invasive or DCIS risk (0% 10 year observed risk). The test identified subjects at risk for either ipsilateral invasive or secondary DCIS events, and the test identified subjects at risk for both ipsilateral invasive and secondary DCIS events.

Results are shown in FIG. 17 . Subjects at low risk for either ipsilateral Invasive or secondary DCIS events after BCS treatment (top line) N=85, 10 year Endpoint 94% (88-100); Subjects at elevated risk for either ipsilateral Invasive or DCIS events after BCS treatment (middle line) N=161 (10 Year Endpoint 90% (84%-96%); Subjects at elevated risk for both ipsilateral DCIS and Invasive events after BCS treatment. (bottom line) N=64 (73% (60%-88%). Total N=311; HR/bin=2.7 (1.6-4.5) p(LR)=0.00019.

Details regarding FIG. 16 are shown in Table 17. Details regarding FIG. 17 are shown in Table 18.

TABLE 17 HT==0|PR==0, N = 183, Wald UMASS Event = 11 Se Test Outcome Variables Coef Exp(coef) (coef) Z Pr(>|z|) Sig code 10 year- Combined Invasive and 1.5  4.4 0.5 2.8 0.0049 ** Overall DCIS Recurrence Score Recurrence (0, 1, 2) 95% CI (1.6-12.3) Likelihood ratio test 9.44 p = 0.0021 df = 1 Same for 10+ year assessment

TABLE 18 HT==0|PR==0, N = 311, UMASS, Event = 34 Wald UUH excludes RT==0&UUH Se Test Sig Outcome Variables Coef Exp(coef) (coef) Z Pr(>|z|) code 10 year- Combined Invasive and   .98 2.7 .27 3.6 0.00028 *** Overall DCIS Recurrence Score Recurrence (0, 1, 2) 95% CI (1.6-4.5) Likelihood ratio test 13.95 p = 0.000191 df = 1

Example 6

FIGS. 18-41 depict event occurrence over time for the markers/factors noted in the figures, for DCIS, invasive breast cancer, or both. The samples tested were DCIS samples taken from subjects. As can be observed from a review of the various graphs, the use of combined risk factors allows for one to predict the risk that a subsequent DCIS will occur, that invasive breast cancer will occur, or that both will occur.

In some embodiments, with the information from Example 6, a subject matching one of the noted risk profiles can receive the appropriate treatment (or lack of overly aggressive therapy) based upon the degree of risk of invasive breast cancer and/or DCIS recurrence.

Example 7

A human DCIS tissue sample is analyzed for PR, and either or both of: at least HER2 and SIAH2, or at least FOXA1. The results are compared with the matrix in Tables 9 and/or 11 to determine if the subject has an elevated risk of invasive breast cancer, and/or DCIS recurrence, or neither.

Example 8

A DCIS tissue sample is analyzed for a level of at least SIAH2 and FOXA1. The results are compared with the matrix in Tables 9 and/or 11 to determine if the subject has an elevated risk of invasive breast cancer, and/or DCIS recurrence, or neither.

Example 9

A DCIS sample from a subject having DCIS is analyzing for SIAH2, and for at least one of HER2, PR, FOXA1, or (in the alternative) analyzed for FOXA1 and PR. The results are compared with the matrix in Tables 9 and/or 11 to determine if the subject has an elevated risk of invasive breast cancer, DCIS recurrence, or neither.

Example 10

A DCIS sample from a subject is analyzed for a level of at least PR, and at least either analyzing the sample for at least HER2 and SIAH2, or (in the alternative) analyzing the sample for at least FOXA1. A prognosis is provided based upon at least PR, HER2 and SIAH2 or based upon at least PR and FOXA1. Depending upon the nature of the results, this indicates that the subject that provided the sample is at a high or elevated risk of invasive breast cancer (see, e.g., Tables 9 and/or 11).

Example 11

A DCIS sample from a subject is analyzed for a level of at least SIAH2 and FOXA1. A prognosis is provided with the subject having an elevated risk of an invasive breast cancer based upon the level of at least SIAH2 and FOXA1.

Example 12

A DCIS sample from a subject is analyzed for: a) PR, HER2, and SIAH2, or (in the alternative) b) PR and FOXA1. A prognosis is provided for the subject as having an elevated risk of an invasive breast cancer event when at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+.

Example 13

A DCIS sample is analyzed for at least one of: a) SIAH2 and FOXA1, b) SIAH2 and at least one of i) PR and ii) HER2, c) SIAH2 and post-menopausal status; or (in the alternative) d) PR and FOXA1. A prognosis is provided that the subject has an elevated risk of a DCIS event when at least one of: a) i) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−; SIAH2+ and post-menopausal; or PR+ and FOXA1−, is present in the DCIS sample.

Example 14

A DCIS sample is analyzed for at least one of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or c) PR+, FOXA1−, and Ki67+. When the analysis indicates a high risk of invasive breast cancer (see, Tables 9 and/or 11) the subject is administered a therapy that is more aggressive than standard of care for DCIS.

Example 15

A DCIS sample is analyzed for at least one of: a) SIAH2+ and FOXA1+, b) SIAH2+ and HER2+ or PR−, c) SIAH2+ and post-menopausal status, or (in the alternative) d) PR+ and FOXA1−. When the analysis indicates a high likelihood of an invasive breast cancer, one administers to the subject a more aggressive therapy than standard of care for a single DCIS event.

Example 16

A subject that has a DCIS that is none of: a) PR−, HER2−, and SIAH2−, b) PR+, FOXA1+, or d) PR+, FOXA1−, and Ki67+ is administered a therapy that is less aggressive than standard of care for DCIS. Such a method allows for reduced surgeries and/or other therapies, where there is little to no risk involved for a subsequent DCIS and/or invasive breast cancer

Example 17

A subject having a DCIS that lacks a combination of markers as indicated in Tables 9 and/or 11 that would indicate an elevated risk of invasive breast cancer is not treated for the DCIS. Such a method allows for reduced surgeries and/or other therapies, where there is little to no risk involved for a subsequent DCIS and/or invasive breast cancer

Example 18

A subject having a DCIS that lacks a combination of markers as indicated in Tables 9 and/or 11 that would indicate an elevated risk of DCIS recurrence is treated for the DCIS by a method that is less than standard of care for a subject having DCIS (without the disclosure provided herein regarding the present markers). Such a method allows for reduced surgeries and/or other therapies, where there is little to no risk involved for a subsequent DCIS and/or invasive breast cancer.

Example 19

A subject provides a sample that is analyzed for at least one of the combinations as outlined in any one of Tables 13-15 to provide a risk level for the subject. A corresponding treatment is then administered to the subject, as outlined in the appropriate row in Tables 13-15, based on the indicated risk level for the subject. 

What is claimed is:
 1. A method for treating a subject, said method comprising: providing a DCIS sample from a subject; analyzing the DCIS sample for at least PR, FOXA1, COX-2, and KI67 expression levels, by measuring presence/absence and/or measuring expression levels of PR, FOXA1, KI67, and COX2, wherein the analyzed DCIS sample is determined to be at least PR+, FOXA1+, COX-2+, and KI67+; and based on the analysis of the DCIS sample, treating the subject with at least one of: adjuvant radiation; or endocrine therapy, thereby reducing the subject's risk of subsequent ipsilateral invasive breast cancer.
 2. The method of claim 1, further comprising analyzing the sample for tumor size.
 3. The method of claim 1, further comprising analyzing the sample for p16 expression level.
 4. The method of claim 1, wherein analysis for the at least PR, FOXA1, COX-2, and KI67 expression levels is carried out in parallel with each other.
 5. The method of claim 1, wherein analysis for the at least PR, FOXA1, COX-2, and KI67 expression levels is carried out at overlapping times.
 6. The method of claim 1, wherein PR analysis precedes an analysis of one or more other markers, wherein the one or more other markers comprises FOXA1, COX2, and KI67.
 7. The method of claim 1, wherein the FOXA1 expression level is, or is a corresponding value of, an immunoscore on a scale of 0-300, wherein the immunoscore comprises a product of: a FOXA1 immunohistochemistry (IHC) staining signal intensity in the DCIS sample on a scale of 0-3; and a percentage of DCIS tumor cells with FOXA1 IHC nuclear staining signal in the DCIS sample, wherein FOXA1− is present in the DCIS sample when the immunoscore is 100 or less, or when the corresponding value thereof is at or below a corresponding cutoff, and FOXA1+ is present in the DCIS sample when the immunoscore is greater than 100, or when the corresponding value thereof is greater than the corresponding cutoff.
 8. The method of claim 7, wherein measuring the presence/absence and/or measuring expression levels of FOXA1 comprises immunohistochemistry (IHC) staining.
 9. The method of claim 7, wherein FOXA1+ is present in the DCIS sample when the immunoscore is 250 or greater, or when the corresponding value thereof is at or greater than the corresponding cutoff.
 10. The method of claim 1, wherein the PR expression level is, or is a corresponding value of, a percentage of PR nuclear signal in DCIS cells of the DCIS sample by IHC staining, and wherein PR+ is present in the DCIS sample when the percentage of PR nuclear signal is 10% or more, or when the percentage of PR nuclear signal percentage is at or above a corresponding cutoff.
 11. The method of claim 1, wherein the endocrine therapy comprises tamoxifen or an aromatase inhibitor.
 12. The method of claim 1, comprising treating the subject with adjuvant radiation based on the analysis of the DCIS sample.
 13. A method for recommending and providing a treatment to a subject, said method comprising: receiving a DCIS sample from a subject; analyzing the DCIS sample for at least PR, FOXA1, COX-2, and KI67 expression levels, by measuring presence/absence and/or measuring expression levels of PR, FOXA1, KI67, and COX2, wherein the analyzed DCIS sample is determined to be at least PR+, FOXA1+, COX-2+, and KI67+; based on the analysis of the DCIS sample, recommending at least one of the following treatments: adjuvant radiation; or endocrine therapy; and providing the recommended treatment to the subject, thereby reducing the subject's risk of subsequent ipsilateral invasive breast cancer.
 14. The method of claim 13, wherein the FOXA1 expression level is, or is a corresponding value of, an immunoscore on a scale of 0-300, wherein the immunoscore comprises a product of: a FOXA1 immunohistochemistry (IHC) staining signal intensity in the DCIS sample on a scale of 0-3; and a percentage of DCIS tumor cells with FOXA1 IHC nuclear staining signal in the DCIS sample, wherein FOXA1− is present in the DCIS sample when the immunoscore is 100 or less, or when the corresponding value thereof is at or below a corresponding cutoff, and FOXA1+ is present in the DCIS sample when the immunoscore is greater than 100, or when the corresponding value thereof is greater than the corresponding cutoff.
 15. The method of claim 14, wherein measuring the presence/absence and/or measuring expression levels of FOXA1 comprises immunohistochemistry (IHC) staining.
 16. The method of claim 14, wherein FOXA1+ is present in the DCIS sample when the immunoscore is 250 or greater, or when the corresponding value thereof is at or greater than the corresponding cutoff.
 17. The method of claim 13, wherein the endocrine therapy comprises tamoxifen or an aromatase inhibitor.
 18. The method of claim 13, comprising recommending adjuvant radiation based on the analysis of the DCIS sample.
 19. A method for reducing the risk of subsequent ipsilateral invasive breast cancer, said method comprising: providing a DCIS sample; and receiving adjuvant radiation or endocrine therapy for treatment of DCIS based on a determination that the DCIS sample is at least PR+, FOXA1+, COX-2+, and KI67+, thereby reducing the risk of subsequent ipsilateral invasive breast cancer.
 20. The method of claim 19, wherein the endocrine therapy comprises tamoxifen or an aromatase inhibitor.
 21. The method of claim 19, comprising receiving adjuvant radiation based on the determination that the DCIS sample is at least PR+, FOXA1+, COX-2+, and KI67+.
 22. A method for treating a subject with a therapy tailored to the subject's risk of a subsequent ipsilateral invasive cancer, said method comprising: providing a DCIS sample from a subject having DCIS; analyzing the DCIS sample for a set of markers comprising PR and FOXA1 expression levels; and treating the subject with lumpectomy with adjuvant radiation therapy based on the analysis that the DCIS sample is at least either PR+/FOXA1+ or PR−/FOXA1−, wherein the FOXA1 expression level is, or is a corresponding value of, an immunoscore on a scale of 0-300, wherein the immunoscore comprises a product of: a FOXA1 immunohistochemistry (IHC) staining signal intensity in the DCIS sample on a scale of 0-3; and a percentage of DCIS tumor cells with FOXA1 IHC nuclear staining signal in the DCIS sample, wherein FOXA1− is present in the DCIS sample when the immunoscore is 100 or less, or when the corresponding value thereof is at or below a corresponding cutoff, and FOXA1+ is present in the DCIS sample when the immunoscore is 250 or greater, or when the corresponding value thereof is at or greater than the corresponding cutoff, and wherein the PR expression level is, or is a corresponding value of, a percentage of PR nuclear signal in DCIS cells of the DCIS sample by IHC staining, and wherein PR+ is present in the DCIS sample when the percentage of PR nuclear signal is 10% or more, or when the percentage of PR nuclear signal percentage is at or above a corresponding cutoff, and PR− is present in the DCIS sample when the percentage of PR nuclear signal is less than 10%, or when the percentage of PR nuclear signal percentage is below the corresponding cutoff.
 23. A method for treating a subject, said method comprising: providing a DCIS sample from a subject; analyzing the DCIS sample for at least PR, FOXA1, COX-2, and KI67 expression levels, by measuring presence/absence and/or measuring expression levels of PR, FOXA1, KI67, and COX2, wherein the analyzed DCIS sample is determined to be at least PR+, FOXA1+, COX-2+, and KI67+; and based on the analysis of the DCIS sample, treating the subject with at least one of: tamoxifen or an aromatase inhibitor, thereby reducing the subject's risk of subsequent ipsilateral invasive breast cancer.
 24. The method of claim 23, wherein the PR expression level is, or is a corresponding value of, a percentage of PR nuclear signal in DCIS cells of the DCIS sample by IHC staining, and wherein PR+ is present in the DCIS sample when the percentage of PR nuclear signal is 10% or more, or when the percentage of PR nuclear signal percentage is at or above a corresponding cutoff. 